JP2010256796A - Comment output device, comment output method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem of the conventional comment output device wherein a comment is not output according to learning. <P>SOLUTION: This comment output device includes: a learning related information storing part 101 for storing learning related information, which is information on the information input by a learner in learning; an output correspondence information storing part 102 for storing one or more output condition information which is information showing the condition on whether a comment corresponding to learning related information is output or not and comment information which is information used for generating a comment with a correspondence between them; a comment acquiring part 103 for acquiring a comment corresponding to the learning related information using the comment information corresponding to the one or more output condition information when the learning related information satisfies the condition shown by the one or more output condition information; and a comment output part 104 for outputting the comment obtained by the comment acquiring part 103. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a comment output device that outputs a comment according to a learner's learning situation.

Conventionally, learning using an e-learning system has been performed (see, for example, Patent Document 1). (For example, refer to Patent Document 1).

Japanese Unexamined Patent Publication No. 2006-189558 (first page, FIG. 1 etc.)

  In such independent learning such as an e-learning system, there is a problem that an appropriate comment cannot be provided to the learner. That is, there is a problem in that learning efficiency and motivation are lowered unless comments such as appropriate advice are provided in accordance with the learning situation such as the learner's degree of understanding and progress. Specifically, it is often inappropriate to output a comment similar to that of a learner who can solve the same problem, such as “Let's do our best at this pace,” to a learner who cannot solve the problem. Also, a comment that can be used by all learners, for example, “If you can solve this problem, please challenge a more difficult problem. If you cannot solve it, please review the basics” is output. Learners who receive a comment often feel that it is just a formal comment rather than a comment for encouragement or advice after understanding their learning situation. However, there is a problem that the effect on the learning efficiency and motivation of learners cannot be expected.

  That is, in general, there has been a problem of appropriately selecting a comment to be output to the learner.

  The present invention has been made in consideration of the above problems, and an object thereof is to provide a comment output device or the like that can output an appropriate comment to a learner.

  The comment output device of the present invention relates to a learning related information storage unit that can store learning related information that is information related to information input by a learner during learning, and whether to output a comment corresponding to the learning related information. An output correspondence information storage unit that can store one or more pieces of output condition information that is information indicating a condition and information for comment that is information used for generating a comment, and the one or more pieces of output condition information A comment acquisition unit that acquires a comment corresponding to the learning related information using the comment information associated with the one or more output condition information, when the learning related information satisfies the condition indicated by A comment output unit that outputs a comment acquired by the comment acquisition unit.

  With this configuration, it is possible to output a comment acquired in consideration of various factors related to learning, and thus it is possible to output an appropriate comment to the learner. For example, it becomes possible to output a comment adapted to the learner's learning level. As a result, the learning efficiency of the learner can be increased. In addition, it is possible to prevent the motivation of the learner from being lowered.

  In the comment output device of the present invention, in the comment output device, the learning related information includes learning attribute information that is information indicating an attribute, and learning attribute value information that is information indicating an attribute value of the learning attribute information. And the output condition information is attribute value condition information that is information indicating whether or not to output a comment on the learning attribute information and the learning attribute value information corresponding to the learning attribute information. The comment acquisition unit includes a combination of learning attribute information and learning attribute value information included in the learning related information included in one or more output condition information associated with the comment information. A comment that determines whether or not the condition indicated by the combination of the learning attribute information and the attribute value condition information satisfies the condition, and acquires a comment using the comment information according to the determination result It is the force apparatus.

  With this configuration, it is possible to output an appropriate comment to the learner according to the comparison result between the learning related information and the output condition information. In addition, since it is easy to grasp the correspondence between the learning related information and the output comment, it is easy to set the comment output according to the learning related information.

  Further, in the comment output device according to the present invention, in the comment output device, whether or not the output condition information is to output a comment with respect to an evaluation index that is an index for evaluating learning corresponding to learning related information. The comment acquisition unit indexes each of two or more pieces of learning related information related to information input during the same learning stored in the learning related information storage unit, and the indexed 2 For the comment associated with the one or more output condition information when the evaluation index is acquired using the learning related information and the evaluation index acquired from the learning related information satisfies the output condition information. It is a comment output apparatus which acquires the comment corresponding to the said learning related information using information.

  With this configuration, it is possible to output an appropriate comment according to the evaluation index acquired using the learning related information. For this reason, the comment based on the comprehensive evaluation about several learning relevant information can be output, for example.

  Further, in the comment output device according to the present invention, in the comment output device, the learning related information includes correct / incorrect information which is information related to correct / incorrect of an answer to a predetermined problem and learning time information which is time information about learning. The output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the correct / incorrect information and the learning time information, and the comment acquisition unit includes a condition indicated by the one or more output condition information. When the learning related information including the correct / incorrect information and the learning time information is satisfied, the comment information associated with the one or more output condition information is used to include a comment corresponding to the correct / incorrect information and the learning time information. It is a comment output device that acquires comments.

  With such a configuration, it is possible to output an appropriate comment according to correct / incorrect information and learning time for the problem used during learning to the learner. For example, it is possible to output a comment according to a learner's understanding level that can be considered from a combination of correct / incorrect information and a learning time, or an answer situation to a question.

  Further, in the comment output device according to the present invention, in the comment output device, the learning time information includes entry time information indicating entry time during learning and non-entry time information indicating non-entry time, and the output condition information is , Information indicating a condition regarding whether or not to output a comment corresponding to the entry time information and the non-entry time information, and the comment acquisition unit includes the condition indicated by the one or more output condition information as the entry time. When learning-related information including information and non-entry time information is satisfied, using the comment information associated with the one or more output condition information, a comment corresponding to the input time information and the non-entry time information is provided. It is a comment output device which acquires a comment including it.

  With this configuration, a comment corresponding to the entry time and the non-entry time can be output. For example, it is possible to output a comment according to the learner's understanding level and answer situation that can be considered from a combination of entry time and non-entry time.

  Further, in the comment output device according to the present invention, in the comment output device, the learning time information includes thought time information indicating a thought time and free time information indicating a free time, and the output condition information is the thought time information. And information indicating a condition regarding whether or not to output a comment corresponding to the free time information, and the comment acquisition unit determines the condition indicated by the one or more output condition information as the thought time information and the free time information. A comment output device that acquires a comment including a comment corresponding to the thinking time information and the free time information using the comment information associated with the one or more output condition information when the learning related information including the information is satisfied It is.

  With this configuration, it is possible to output a comment corresponding to the thinking time and the free time. For example, it is possible to output a comment according to the learning situation of the learner that can be considered from the combination of the thinking time and the idle time, the answer situation of the problem, and the like.

  In the comment output device of the present invention, in the comment output device, the learning related information includes learning fixing degree information that is information indicating a fixing degree of learning habits, and the output condition information is the learning fixing degree information. When the learning related information including the learning fixing degree information satisfies the condition indicated by the one or more output condition information, the information indicating the condition regarding whether or not to output the comment corresponding to The comment output device acquires a comment including a comment corresponding to the learning fixing degree information using the comment information associated with the one or more output condition information.

  With this configuration, it is possible to output a comment corresponding to the learning fixing degree. For example, it is possible to output a comment according to a learner's learning habits that can be considered from the degree of learning fixation.

  Further, in the comment output device according to the present invention, in the comment output device, the learning related information includes total learning time information that is information indicating a total learning time within a predetermined period, and the output condition information is: The total learning time includes information indicating a condition for determining that the learning time is excessive learning time, and the comment acquisition unit is configured to learn the condition indicated by the one or more output condition information including the total learning time information. When the related information is satisfied, the comment output device acquires a comment including a comment indicating that excessive learning is performed using the comment information associated with the one or more output condition information. .

  With this configuration, it is possible to output a comment corresponding to the total learning time. For example, it is possible to determine a situation such as whether or not the learner's learning amount is excessive from the total learning time, and to output a comment according to the determination result.

  In the comment output device of the present invention, in the comment output device, the learning related information includes learning time zone information that is information indicating a time zone in which learning is performed, and the output condition information is the learning time. Including information indicating a condition regarding whether or not to output a comment corresponding to the band information, and the comment acquisition unit includes the learning related information including the learning time period information indicating the condition indicated by the one or more output condition information. A comment output device that, when satisfied, acquires the comment information associated with the one or more output condition information, and acquires a comment including a comment corresponding to the learning time zone information using the comment information. It is.

  With this configuration, a comment corresponding to the learning time zone can be output. For example, it is possible to output to the learner a comment corresponding to an attitude desired by the learner who can think from the learning time zone, a learning habit, and the like.

  Further, in the comment output device according to the present invention, in the comment output device, the learning related information includes learning date information that is information related to a date on which learning is performed, and the output condition information corresponds to the learning date information. Information indicating a condition on whether or not to output the comment, the comment acquisition unit, when the learning related information including the learning date information satisfies the condition indicated by the one or more output condition information The comment output device acquires a comment corresponding to the learning date information using the comment information associated with one or more output condition information.

  With this configuration, a comment corresponding to the learning date information can be output. For example, it is possible to output to the learner a comment corresponding to an attitude or learning habit that the learner can think of from the learning date information.

  In the comment output device of the present invention, in the comment output device, the learning related information includes personality information that is information indicating the personality of the learner, and the output condition information is a comment corresponding to the personality information. Information indicating whether or not to perform the output, and when the learning related information including the personality information satisfies the condition indicated by the one or more output condition information, the comment acquisition unit The comment output device acquires a comment including a comment corresponding to the personality information by using the comment information associated with the output condition information.

  With this configuration, a comment corresponding to personality information can be output. For example, a comment that takes into consideration the personality of the learner that can be considered from the personality information can be output to the learner.

  Further, in the comment output device of the present invention, in the comment output device, the output correspondence information storage unit is associated with output number information, which is information indicating the number of outputs of the comment information, with the comment information. The comment acquisition unit is a comment output device that acquires the comment information according to the output count information.

  With this configuration, it is possible to output a comment corresponding to the number of outputs. For example, it is possible not to output a comment with a large number of output times and to avoid duplication of output comments.

  Further, in the comment output device according to the present invention, in the comment output device, the output correspondence information storage unit includes output effect information which is information indicating an effect on the comment generated using the comment information. The comment acquisition unit is a comment output device that acquires a comment using the comment information according to the output effect information.

  With this configuration, a comment corresponding to the effect can be output, and the effect of the comment can be reflected in the next comment output. For example, it is possible to preferentially output valid comments without outputting comments that have little effect.

  In the comment output device of the present invention, in the comment output device, the output effect information is a time from when a comment generated using the comment information is output until the learner starts learning, the comment Information about the correctness / incorrectness of an answer to a predetermined question after outputting a comment generated using the information for information, or information about time for learning after outputting the comment generated using the comment information This is a comment output device that is information corresponding to at least one of the learning time information.

  With such a configuration, it is possible to add, to the comment information, the time required for learning after the comment is output, correct / incorrect information, and output effect information corresponding to the learning time information. For example, after the comment is output, output effect information indicating that the comment has been effective is added to the comment information when learning is started immediately, when the correct answer rate is increased, or when the learning time is increased. It becomes possible to do.

  In the comment output device of the present invention, in the comment output device, the output effect information determines whether learning has been performed according to the comment after outputting the comment generated using the comment information. It is a comment output device which is information acquired in this way.

  With this configuration, output effect information according to whether or not there is an effect on learning by comments can be given.

  In the comment output device according to the present invention, in the comment output device, the output effect information is information acquired according to a learning frequency after outputting a comment generated using the comment information. Output device.

  With this configuration, output effect information according to the learning frequency after comment output can be given to the comment information. For example, when the learning frequency increases after outputting a comment, output effect information indicating that the comment has been effective can be added to the comment information.

  In the comment output device of the present invention, in the comment output device, the learner evaluated whether the output effect information is a valid comment generated and output using the comment information. It is a comment output device that is information.

  With this configuration, the evaluation of the learner's comment can be reflected in the next comment output.

  In the comment output device of the present invention, in the comment output device, the comment acquisition unit preferentially acquires a comment using the comment information indicating that the output effect information is highly effective. Output device.

  With this configuration, it is possible to preferentially output a comment that is determined to be highly effective.

  According to the comment output device of the present invention, it is possible to output an appropriate comment to the learner according to the learning related information.

The block diagram of the comment output device concerning an embodiment of the invention Flow chart for explaining the operation of the comment output device Conceptual diagram of e-learning system etc. using the comment output device The figure which shows an example of the learning related information management table for demonstrating operation | movement of the comment output apparatus. The figure which shows an example of the condition information management table for parameter | index acquisition for demonstrating operation | movement of a comment output apparatus The figure which shows an example of the parameter | index management table for demonstrating operation | movement of the comment output apparatus. The figure which shows an example of the evaluation parameter | index determination table for demonstrating operation | movement of the comment output device The figure which shows an example of the information management table for comments for demonstrating operation | movement of the comment output apparatus. The figure which shows the example of a display of the comment for demonstrating operation | movement of the comment output device Block diagram of a modification of the comment output device The figure which shows an example of electronic pen transmission information for demonstrating operation | movement of the modification of the comment output device. The figure which shows an example of the information management table for comments for demonstrating operation | movement of the comment output apparatus. Flow chart for explaining the operation of the comment output device Schematic diagram showing an example of the appearance of the computer system in the embodiment The figure which shows an example of a structure of the computer system in the embodiment

  Hereinafter, embodiments of a comment output device and the like will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again.

(Embodiment)
FIG. 1 is a block diagram of a comment output device 1 according to the present embodiment. The comment output device according to the present embodiment is a device that outputs a comment corresponding to learning related information that is information related to information input by a learner during learning.

  The comment output device 1 includes a learning related information storage unit 101, an output correspondence information storage unit 102, a comment acquisition unit 103, a comment output unit 104, a reception unit 105, an output effect information acquisition unit 106, and an index acquisition condition information storage unit. 107.

  The learning related information storage unit 101 can store learning related information that is information related to information input by the learner during learning. The information input by the learner at the time of learning is, for example, information such as characters and images such as answer information and information such as name input when the learner solves the problem. Further, it may be considered as information output from an input device or the like within the learning time. The learning-related information may be information itself input by the learner such as information such as a question answer, or may be information generated using information input by the learner. Moreover, the information produced | generated using information, such as time acquired when a learner inputs information, may be sufficient. The learning related information may be information directly related to information input by the learner, or may be information related indirectly. For example, the directly related information is, for example, information such as entry time during which correct / incorrect information or characters are entered. The indirectly related information may be, for example, information such as the date, day of the week, time zone, etc. that the learner is learning, or information indicating the personality of the learner Etc. Further, the learning related information may be information related to the problem used by the learner for learning. For example, problem identification information that is information for identifying a problem, attribute information indicating attributes such as a genre of a problem, a difficulty level, and a progress level may be used. Further, the learning related information may be associated with information capable of determining the date and time when the learning related information is acquired, for example, information such as the storage date and time of learning related information. The learning related information is managed for each learner in association with learner identification information for identifying the learner, for example. The learner identification information is transmitted from, for example, an information processing apparatus (not shown) used by the learner. The learning identification information may be, for example, the user ID entered by the learner in the e-learning system at the time of login, or the name of the user entered manually to create the answer to the problem, etc. It may be the information.

  The learning related information is, for example, learning time information that is time information about learning. The learning time information may be any information as long as it can be known about the time required for learning. For example, the learning time information may be information indicating the learning time quantitatively (for example, 30 minutes, 1 hour, etc.), or information indicating qualitative time (for example, “long”, “short”, etc.). There may be. Even if the learning time information is information indicating qualitative time, for example, 1 hour or more is “long”, 30 minutes or more and less than 1 hour is “medium”, and less than 30 minutes It is preferable that it is determined to be “short”. The same applies to entry time information and non-entry time information, thinking time information, and free time information, which will be described later. The learning time information is information indicating the time from the start to the end of learning, for example. The learning time information is information relating to, for example, the time for learning performed using one or more questions, for example, the time required to answer one or more questions. The time required for answering one or more questions may be considered as the time in which an answer to the question can be entered. The time required to answer one or more questions may include information on free time that does not substantially solve the problem, such as a break time.

  Note that the problem described here may be, for example, a problem (for example, “1 + 1 =”, etc.) that is the minimum unit of answers and scoring, and a plurality of problems that are the minimum unit of such answers and scoring. It may be a problem as a set including, for example, a test of one subject in the semester examination or a test of one subject of an entrance examination. The minimum unit for answering and scoring may be, for example, a part (for example, a part of a plurality of steps in a proof problem) up to a final answer in one question. The answer to the problem is not limited to a character string including numbers and the like, and may be information such as an image.

  Further, the learning time information may be information including at least one of entry time information indicating the entry time of characters and images at the time of learning and non-entry time information indicating the non-entry time. The entry time information may be any information as long as it can be known about the time required for entry. The entry time information may be, for example, information including a time during which an answer to one or more questions is entered. The entry time information may be considered as the time when data relating to the answer to the question is input. The entry time information may be considered as information including the entry time of information other than the answer, or may be considered as information not included. For example, the time for entering a calculation for an answer or the time for writing a draft for an answer may be considered as the entry time. In addition, when the answer once entered is rewritten, the time required for the entry before rewriting may be added to the entry time. Specifically, the entry time information is information obtained by accumulating entry times for one or more problems specified in advance. The non-entry time information may be any information as long as it is information that can be known about the non-entry time. The non-entry time information may be information including a time during which an answer is not entered when solving one or more problems. Moreover, you may consider filling time information and non-filling time as one of learning related information.

  The non-entry time information may be information including at least one of thinking time information and free time information. The thinking time is, for example, a time during which the learner is thinking without entering characters during learning. The thinking time may be a time for thinking in order to solve one or more problems. The thinking time information may be any information as long as it is information that can be known about the thinking time. The idle time is, for example, a time other than the actual learning time in the time required for learning, specifically, a break time or the like. The free time information may be considered as a time other than the thinking time in the non-filling time. The free time information may be any information as long as it can be known about the free time. The thinking time information and the free time information may be considered as one of learning related information.

  The learning related information is, for example, correct / incorrect information that is information regarding correctness of the learner's answer to a predetermined problem. The learning related information is preferably associated with problem identification information indicating a predetermined problem, for example. The correct / incorrect information may be any information as long as it can be known about the correctness of the answer. For example, the correct / incorrect information may be information indicating the number of questions and the number of correct answers, or may be information indicating the number of questions and the number of incorrect answers. Moreover, the information which shows the number of correct answers and the number of incorrect answers may be sufficient. Moreover, the information which shows a correct answer rate may be sufficient, the information which shows a wrong answer rate may be sufficient, and the information which identifies a correct answer / incorrect answer may be sufficient. Further, it may be an index (score) calculated using a score assigned to one or more correctly answered questions. Moreover, the information which shows whether this parameter | index exceeds the threshold value previously allocated to the 1 or more problem may be sufficient.

  Note that the problem described in the present embodiment may be, for example, a problem (for example, “1 + 1 =”, etc.) that is the minimum unit of answers and scoring, and the minimum unit of such answers and scoring. It may be a problem as a set including a plurality of questions, for example, a test of one subject in the semester examination, a test of one subject of entrance examination, and the like. The minimum unit for answering and scoring may be, for example, a part (for example, a part of a plurality of steps in a proof problem) up to a final answer in one question. The answer to the problem is not limited to a character string including numbers and the like, and may be information such as an image. In addition, when the learning related information described above is information related to one or more predetermined problems, the learning related information may be associated with the problem identification information of the related problem or the related problem. good. “Association” described here may mean that learning-related information and problem or problem identification information are managed as two items of one record, or learning-related information and problem or The problem identification information may be integrated.

  Further, the learning related information may be learning fixing degree information that is information indicating the fixing degree of the learner's learning habits. The fixed degree of learning habits is information indicating whether learning by a learner is regularly performed, whether it is continuously performed, or the like. For example, if learning is performed every day or on a fixed day of the week in a past predetermined period, it may be considered that the learning habits are established, or within the past predetermined period It may be considered that the learning habit is established when the learning is performed at a frequency equal to or higher than a predetermined frequency. The learning fixing degree information may be any information as long as it can indicate the fixing degree of learning habits. For example, the fixing degree is “fixed” or “not fixed”. Such information may be qualitative information, or may be information that quantitatively indicates the fixing degree as in a five-step evaluation. The learning fixing degree information may be determined, for example, according to the number of learnings performed at a predetermined timing. For example, when learning is not performed on the day of the week on which the main subject is to be performed, It may be determined according to the number of times that it is not. The learning fixing degree information includes, for example, information indicating a date when learning stored in a storage unit (not shown) in a learning fixing degree determination unit (not shown), learning date information included in the learning related information, It may be calculated using learning time zone information and the like, and the calculated learning fixing degree information may be stored in the learning related information storage unit. Alternatively, information indicating the date and time when the learner performs learning on the day of the week and time specified in advance, the date and time when the learner performs learning, and the date and time when the learning was actually performed, etc. It is also possible to obtain information such as the number of matching days or the ratio as learning fixing degree information, or acquire the learning fixing degree information using these days or ratios.

  Further, the learning related information may be total learning time information that is information indicating the total learning time within a predetermined period. For example, the total learning time is a total of learning time information within a period indicated by information indicating a period, which is stored in advance in a storage unit (not shown) or the like. For the learning time information, the total learning time calculation unit (not shown), for example, totals the learning time indicated by the learning time information included as one of the learning related information acquired within a predetermined period. Can be obtained. Then, the total learning time calculation unit or the like stores the calculated total learning time information in the learning related information storage unit 101. Instead of totaling the learning time indicated by the learning time information and acquiring the total learning time information, the entry time indicated by the entry time information and the non-entry time indicated by the non-entry time information may be added or entered. The entry time indicated by the time information and the think time indicated by the think time information may be summed, or only the entry time indicated by the entry time information may be summed.

  The learning related information may be learning time zone information that is information indicating a time zone in which learning is performed. The learning time zone information is information that can indicate, for example, a time zone during which learning is performed. The learning described here is, for example, learning performed using one or more problems. The learning time zone information is information that specifies the start time and end time of the time zone in which learning was performed, information that specifies one time included in the time zone in which learning was performed, and learning was performed This is information that designates an approximate time segment including the time zone. The information specifying the start time and the end time of the time zone may be information that can acquire the start time and the end time as a result. For example, “3:10 pm to 3:45 pm”, etc. It may be information indicating the learning start time and end time, or may be information configured by a combination of the learning start time and the learning continuation time. The information specifying one time included in the time zone in which learning is performed is, for example, a start time, an end time, a time intermediate between the start time and the end time, or the like. The information that designates one time included in the time zone in which learning is performed may be information that can designate one time included in the time zone in which learning is performed as a result. In addition, the information that specifies the approximate time division including the time zone in which the learning was performed is information that can specify one when the day is largely divided, for example, morning or afternoon , Information specifying time divisions such as early morning, late night, and evening. Information specifying a start time, an end time, or the like may be associated with the time segment. In addition, you may think that the time slot | zone when learning was performed is a time slot | zone when the answer about the question was performed. The learning time zone information may be information indicating a time zone during which learning (or answer) including idle time is performed. Further, the learning time zone information may further include information such as the date and day of the week on which learning is performed.

  Further, the learning related information may be learning date information that is information related to the date on which learning is performed. The learning date information is, for example, information indicating the number of days for which learning has been performed continuously. However, the number of consecutive days may be counted even when a break within the predetermined number of days is included in the number of continuous learning days equal to or greater than the predetermined number of days. Further, it may be information indicating that learning has been continuously performed for a predetermined number of days or more, or that learning has not been performed continuously for a predetermined number of days or more. Moreover, as long as it is information that can calculate the number of days in which learning has been performed continuously, it may be information relating to the date and day of the week on which learning that has been performed using a problem has been performed.

  The learning related information may be personality information that is information indicating the personality of the learner. The personality indicated by the personality information may be any personality that is relevant to learning. The personality information may be, for example, information that expresses the personality of “Qi-long” with qualitative values such as “long” or “short”, and the personality information is a numerical value such as a five-level evaluation. It may be information that is used and quantitatively shown. For example, it may be information that quantitatively indicates the character of “perseverance” by a numerical value such as “5” or “2”.

  Further, the learning related information may be information related to the behavior of the electronic pen used during learning. For example, it may be information on the pen pressure of the electronic pen or information on the moving speed of the electronic pen.

  The learning related information includes the learning time information, entry time information, non-entry time information, thinking time information, free time information, correct / incorrect information, learning fixing degree information, total learning time information, learning time zone information, and learning date. Information including all of the information and personality information may be used, or information including a part thereof may be used.

  The learning related information is, for example, information having learning attribute information that is information indicating an attribute and learning attribute value information that is information indicating an attribute value of the learning attribute information. The learning attribute information is information indicating items and the like of learning related information. For example, when learning related information is managed in a database or the like, the learning related information may be considered as an item name or a field name of the database. The learning attribute value information is information indicating an attribute value corresponding to the learning attribute information. The learning attribute information is, for example, information such as “learning time information”, “correct / incorrect information”, “learning time zone information”, and “personality information” as described above. The learning attribute value information is attribute value information corresponding to the learning attribute information such as “2 hours”, “57 points”, “persistence”, and the like.

  Here, an example of a method for acquiring the learning related information stored in the learning related information storage unit 101 will be described.

[To acquire learning time information included in learning-related information]
The learning time information may be information obtained by manually measuring the time from the start of one learning to the end of the learning, or may be automatically measured. In the latter case, for example, in the e-learning system, when learning is started, when a learner outputs a problem, when a problem is started, when learning is completed, It is also possible to measure the time (period) such as the time when the output of is finished or the time when the answer to the question is finished, and acquire the measured time as the learning time. Further, the learning time may be acquired by acquiring each time and calculating a time difference or the like. In addition, you may acquire the value which added the learning time information acquired in the predetermined period as total learning time information, for example.

[To acquire entry time information and non-entry time information included in learning-related information]
The entry time may be, for example, measured manually by the time from the start of entry of an answer to a given question by the learner to the end of entry. There may be. In the latter case, for example, in the e-learning system, the time (period) during which the learner inputs the answer to the question is measured, and the time obtained by accumulating the measured time is obtained as the entry time. May be. In addition, when there are a plurality of problems, a time obtained by accumulating the time when input is performed for each of the plurality of problems may be acquired as the entry time. The input time is usually a time during which an input signal for an answer column or the like is input from an input device or the like. Even if the input signal from the input device is interrupted, if the time interval until the next input signal is input is equal to or less than the time specified in advance, the input is not completed and the input is not completed. It may be determined that it continues. For example, when input is performed with a keyboard, electronic pen, etc., even if the input is interrupted for several seconds, for example, the interrupted time is less than a predetermined time, and input is performed immediately thereafter The interruption time may also be measured as the entry time. In addition, about the predetermined time described here, for example, it may be specified for each answerer, or may be specified for each question to be answered. The designation by problem may mean designation by problem group, for example, designation by problem field. The information specifying these times may be transmitted from the problem information output device 1 or the like in association with the problem information or the like, for example. This also applies to information specifying a time used when detecting non-filling time, thinking time information, vacant time information, and the like described below. In addition, when the input device is an electronic pen or the like, a threshold for information obtained from the electronic pen, such as a moving distance or Information indicating conditions such as threshold values for writing pressure and the like may also be specified for each answerer and each question information.

  The non-entry time may be, for example, a time when the learner is within the time from the start of entry of the answer to the question to the end and the time when the answer is not entered is manually measured, Or what was measured automatically may be used. In the latter case, for example, in the e-learning system, the time from when the question is presented to the learner until the time when the answer to the question is finished is not entered. And the time obtained by accumulating the measured time may be acquired as the answer time. In addition, when there are a plurality of problems, the time obtained by accumulating the times when the input is not performed and obtained for each of the plurality of problems may be acquired as the entry time. Further, the time obtained by subtracting the above-described entry time from the time from when the question is presented to the learner until the time when the input of the answer to the question is completed may be set as the non-entry time.

  In the e-learning system or the like, the input of the answer from the learner may be input using any input device such as a keyboard, a mouse, or an electronic pen. The electronic pen may be, for example, an electronic pen developed by Anoto, or a tablet or other type of electronic pen. In the electronic pen, the presence or absence of input can be determined by a change in coordinates of the position indicated by the electronic pen.

  Note that the entry time information and the non-entry time information described above may be information created in the comment output device 1 or information created outside the comment output device 1.

  For example, a terminal device (not shown) such as an e-learning system used by the learner acquires the entry time information and the non-entry time information by the processing as described above, and transmits it to the comment output device 1. It may be.

  In addition, information such as the time when the input was acquired by a terminal device (not shown) such as an e-learning system used by the learner, or real-time information indicating that the input is being performed, The comment output device 1 that is transmitted to the comment output device 1 and has received the information by a receiving unit (not shown) or the like uses the information, and the processing unit or the like (not shown) enters entry time information, non-entry time information, or the like. You may make it create.

[When thinking time information and free time information included in learning-related information]
The thinking time information may be, for example, information obtained by manually measuring the time during which the learner is thinking about solving a problem without entering an answer to the problem. Or what was measured automatically may be used. In the latter case, for example, in an e-learning system, the time from when a learner starts answering a question or presenting a problem to the learner until input for answer entry is started ( If the measured time is less than a predetermined time specified in advance for a problem or the like, it is measured as a thinking time. Moreover, when there are a plurality of problems, the time obtained by accumulating the thinking time acquired for each of the plurality of problems may be acquired as the thinking time. The start time of the answer may be determined according to, for example, a start instruction by the user. When one question acquires a plurality of questions, the completion of answer entry for one question included in one question may be determined as the answer start of the next question.

  Further, the idle time information may be, for example, information obtained by manually measuring the time when the learner does not write an answer or think about solving the problem. Or what was measured automatically may be used. In the latter case, for example, the time (period) from when the learner starts answering the question or presenting the question to the learner until input for entering the answer is started is measured. If the measured time is longer than a predetermined time specified in advance for the problem or the like, the time is measured as a free time. Alternatively, a time obtained by subtracting the thinking time indicated by the thinking time information from the non-writing time indicated by the non-writing time information may be acquired as a free time. In addition, the time from when the learner operates a menu or button for interrupting the answer until the user operates the menu or button until the answer is restarted may be acquired as an idle time.

  The thinking time information and the free time information described above may be information created in the comment output device 1 or information created outside the comment output device 1.

[To acquire learning time zone information included in learning-related information]
The learning time zone information may be, for example, manually measured time zones from when a learner starts answering a question to when it ends, or automatically measured time zone information. Also good. For example, when measuring automatically, information on the time when the problem was presented to the learner, and information on the time when the answer of the problem by the learner ended, application software such as a clock, or an e-learning system that provides the problem Or the like, or an NTP server or the like using NTP (Network Time Protocol) or the like. The learning time zone information may be information obtained by measuring one time in a time zone from when the learner starts answering a question to when it ends. In addition, information on start time and end time for each time division such as early morning, evening, and midnight prepared in advance, information on the time when the problem was presented to the learner, and the time when the answer to the problem by the learner ended Even if the information indicating the time segment that includes the information on the time when the problem was presented to the learner and the information on the time when the answer to the problem by the learner ended is acquired as the learning time zone information good.

  The learning time zone information described above may be information acquired within the comment output device 1 or information acquired outside the comment output device 1.

[When learning date information included in learning related information]
The learning date information may be, for example, information obtained on the day when the learner answers the problem manually or may be obtained automatically. For example, when acquiring automatically, information such as the date and day of the week when the problem is presented to the learner, application software such as a clock, an e-learning system server that provides the problem, NTP (Network Time) Protocol) or the like may be used to obtain from an NTP server or the like. In addition, when the learning date information is information indicating the number of days in which the answer to the question has been continuously performed, the answers are continuously obtained from records, log information, history information, etc. that indicate the date when the answer was acquired in the past. Then, the number of days being performed is counted, and information indicating the count result is acquired as learning date information. In addition, when counting the number of consecutive days, the date and day of the week specified in advance may be excluded from the count target whether or not the answer has been made.

  The learning time zone information described above may be information acquired within the comment output device 1 or information acquired outside the comment output device 1.

[Acquiring errata information and problem identification information included in learning-related information]
The correct / incorrect information may be, for example, information obtained by manually scoring the learner's answer, or information obtained by automatically scoring the answer input using the above-described input device or the like. There may be. The problem identification information may be, for example, acquired problem identification information for identifying a problem presented to the learner by the e-learning system, or manually input to create a learning related information management table Information may be provided.

[When acquiring learning fixation information included in learning-related information]
The learning fixing degree information may be, for example, information manually input by the learner, or information obtained by using information such as the date and time of learning input using the above-described input device or the like It may be. For example, in the latter case, the number of days in which learning has been performed within a predetermined period specified in the past is counted, and if the number of days is equal to or greater than the predetermined number of days, learning indicating that the learning habit is established Get fixing degree information. Note that the number of days in which learning was performed within a predetermined time period within a predetermined period specified in the past may be counted.

  The process in which learning related information is memorize | stored in the learning related information storage part 101 is not ask | required. For example, learning related information may be stored in the learning related information storage unit 101 via a recording medium, and learning related information transmitted via a communication line or the like is stored in the learning related information storage unit 101. The learning related information input via the input device may be stored in the learning related information storage unit 101. The storage in the learning related information storage unit 101 may be temporary storage in a RAM or the like, or may be long-term storage. The learning related information storage unit 101 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, etc.).

  The output correspondence information storage unit 102 includes one or more output condition information that is information indicating whether or not to output a comment corresponding to the learning related information, and a comment for information that is used for generating a comment. Information can be stored in association with each other. The output condition information usually indicates a condition under which a comment is output when the corresponding learning related information satisfies the condition indicated by the output condition information. However, it may be a condition for outputting a comment when the condition is not satisfied. When the condition indicated by the output condition information is such a condition that a comment is output when the corresponding learning-related information does not satisfy the condition indicated by the output condition information, the comment acquisition unit 103 described later is When the learning related information does not satisfy the condition indicated by the output condition information, it may be considered that it is determined that the condition indicated by the output condition information is satisfied. Also, for output condition information that outputs different comments depending on whether the condition is satisfied or not, and output condition information that outputs different comments depending on the value range, for example, when the condition is satisfied What is necessary is just to consider it as the combination of several output condition information like the combination of the output condition information from which a 1st comment is output, and the output condition information from which a 2nd comment is output when conditions are not satisfy | filled.

  The output condition information is usually information on conditions corresponding to learning related information. The output condition information may be, for example, condition information for the learning related information itself. Specifically, the output condition information includes learning attribute information that is information indicating the same attribute as the attribute of learning-related information, and attribute value condition information that is information indicating the condition of the attribute value of the learning attribute information. It may be. In this case, for example, the output condition information is information indicating a condition of learning attribute value information of learning related information having learning attribute information that matches the learning attribute information included in the output condition information. For example, such output condition information is information indicating a condition that “the learning time information is 20 minutes or more”. In this case, “learning time information” is learning attribute information, and “20 minutes or more” is attribute value condition information. This output condition information is, for example, a condition that a comment is output if the value of learning attribute value information of learning related information having learning attribute information that matches “learning time information” is “20 minutes or more”. Information.

  Further, the output condition information may be information on a condition for information acquired by performing processing such as predetermined calculation or indexing using one or more pieces of learning related information. Even in such a case, it may be considered that the output condition information is associated with the learning related information. Specifically, the output condition information may be information indicating a condition regarding whether to output a comment for an evaluation index that is an index for evaluating learning corresponding to one or more learning-related information. Good. The evaluation index is an index created using, for example, one or more learning related information, and is information corresponding to the learning related information. For this reason, for example, it may be considered that the learning-related information satisfies the condition indicated by the output condition information when the evaluation index satisfies the condition indicated by the corresponding output condition information. The evaluation index will be described later.

  The output condition information corresponding to the learning time information, entry time information, non-entry time, thinking time, idle time, etc. is, for example, the entry time and non-existence required when a standard learner answers a predetermined problem. It is information indicating time such as entry time, thinking time, and free time. The output condition information may be, for example, an optimum value calculated for a plurality of learners, an average value of entry times, a median value, a standard value, or the like. The output condition information is the optimum value set according to the ability of one learner who is the output destination of the next problem, the past average value, median value, standard value, etc. of the one learner, It may be information set in advance. In addition, the value included in the output condition information may be a fixed value, a value that dynamically changes according to the answer situation, and the like. The output condition information on the entry time, non-entry time, thinking time, idle time, etc. includes threshold values such as “within 14 minutes” or “10 minutes or more”, and threshold values and their thresholds. It may be a combination with information indicating whether the value is a value indicating a lower limit value satisfying a condition or a value indicating an upper limit value. Further, it may be expressed using qualitative information such as “long” or “short”.

  The output condition information for correct / incorrect information includes conditions using information for identifying correct / incorrect such as “correct answer”, “incorrect answer”, the number of correct answers such as “10 or more correct answers” and “correct answer rate of 50% or more” Information specifying conditions such as the number of frauds, conditions using values such as the correct answer rate and the incorrect answer rate, and conditions using results of scoring answers to questions such as “70 or more”.

  Condition information about learning time zone information includes information specifying conditions using time categories such as “midnight” and “other than early morning”, “time zone from 11 pm to 7 am”, and time zone including 6 pm ”Or the like is information specifying a condition using time information such as“ ”.

  The condition information about the learning day information is a condition using the number of days such as “5 or more consecutive days”, information specifying whether or not it matches with a predesignated day such as “match with specified day of the week”, etc. is there.

  Condition information about electronic pen behavior information includes conditions using values such as “writing pressure is 5 or higher” and “speed is 2 or higher”, and qualitative characteristics such as “strong writing pressure” and “slow speed”. Information indicating conditions using typical information.

  The condition information about the learning fixing degree information includes, for example, information for designating a condition with a character string indicating whether learning has been fixed, a threshold value such as “60% or more” of the fixing degree, and the like. This is information indicating a condition combined with information indicating whether the threshold is an upper limit or a lower limit.

  The condition information about the total learning time information includes, for example, information for specifying the condition with a character string such as “long” or “short” for the total learning time, or a threshold value such as “60 minutes or more” for the total learning time. Or information indicating a condition combined with information indicating whether the threshold is an upper limit or a lower limit.

  The condition information about personality information is information that specifies conditions using character strings such as “Long”, “Short”, “Patience”, “None”, “None” and “None” concentration, etc. It is.

  The comment information may be any information that can be used to create a comment, and may be a comment itself, or learning-related information corresponding to a comment, or information on a comment template in which information such as a date can be embedded. But it ’s okay.

  One output condition information may be associated with one comment information, or a plurality of output condition information may be associated with one comment information. In the output correspondence information storage unit 102, the output condition information and the comment information may be stored directly associated with each other, or may be stored indirectly associated with each other. Indirect association means that identification information corresponding to each is associated with each other, for example. Further, the output condition information and the comment information may be physically stored in the same storage medium, or may be stored in physically different storage media.

  Further, the output correspondence information storage unit 102 may store the above-described comment information and output count information that is information indicating the number of comments output using the comment information in association with each other. . The output count information is, for example, a value indicating the output count. The fact that the comment information and the output count information are associated with each other may be considered that the learning related information and the output count information are associated with each other. The value of the output count information may be incremented when, for example, a comment acquisition unit described later acquires comment information. The output count information may be output count information for one learner, or output count information indicating the output count of comments created using the same comment information for a plurality of learners. There may be.

  Further, the output correspondence information storage unit 102 may store output effect information, which is information indicating an effect on a comment generated using the comment information, in association with the comment information. The output effect information may be any information as long as the output comment is information indicating that there is an effect on learning or no effect, for example, “effective”, “ Qualitative information such as “no effect” may be used, or quantitative information indicating the effect by a numerical value or the like may be used. The output effect information may be associated with only the comment information used for generating a comment whose comment effect can be confirmed.

  The output effect information includes, for example, the time from the output of the comment generated using the comment information until the learner starts learning, the answer to the predetermined problem after the output of the comment generated using the comment information Is information according to at least one or more of correct / incorrect information, which is information related to correct / incorrect, or learning time information after outputting a comment generated using the comment information. For example, the output effect information is the time from the output of the comment generated using the comment information until the learner starts learning, for a predetermined time, the interval at which the last learning is performed, etc. It is information acquired depending on whether it is short or not. Specifically, when the time taken for learning is short, information indicating that there is an output effect may be acquired. In addition, the output effect information includes, for example, correct / incorrect information of an answer to a predetermined question after outputting a comment generated using comment information by outputting a comment. This information is obtained based on whether or not the correct answer rate is higher than the correct / incorrect information. Specifically, when the correct answer rate is increased, information indicating that there is an output effect may be acquired. The output effect information is acquired based on, for example, whether the learning time information after outputting the comment generated using the comment information is shorter than the time specified in advance or the time before outputting the comment. Information. Specifically, when the time indicated by the learning time information after output is short, information indicating that the output effect is suitable may be acquired. The predetermined problem is, for example, a problem corresponding to a problem used in learning that is a comment output target. In other words, the problem corresponds to the problem corresponding to the comment information used to generate the output comment. Specifically, it is a problem that is output after the problem used in the learning that is the output target of the comment. “After comment output” is, for example, learning following learning that is a comment output target, or learning after that.

  The output effect information may be information indicating whether learning has been performed according to the comment after the comment generated using the comment information is output. The fact that learning has been performed in accordance with this comment indicates substantially the same result as the effect of the comment as described above, and thus can be used as the output effect information described above. Information indicating whether or not learning has been performed according to the comment can be acquired as follows, for example. The comment acquisition unit 103 to be described later creates, for example, comment information including an interface screen, for example, a check box, for inputting a determination result as to whether learning has been performed, according to the content indicated by the comment. Then, information indicating a self-evaluation result or the like of whether or not learning has been performed according to the content indicated by the comment is displayed using an interface screen included in the comment displayed by the learner using an information processing device such as a computer. Input and send to the comment output device 1. Then, the comment output device 1 receives information indicating whether or not learning has been performed according to the transmitted comment, and stores it as output effect information in association with the comment information corresponding to the comment. What should I do?

  Further, the output effect information may be information acquired according to the learning frequency after outputting the comment generated using the comment information. The learning frequency may be, for example, the ratio of the total number of days or the total time within a predetermined period after the comment is output to the number of days or the time when the learning is performed, or within the predetermined period It may be the total number of days and hours of learning. Moreover, the interval between the days when learning is performed may be used. Alternatively, it may be a value determined by whether or not learning has been performed on a day designated in advance. The output effect information depends on whether the learning frequency after outputting the comment generated using the comment information is higher than the frequency specified in advance or the frequency when the previous learning is performed. Information to be acquired. Specifically, when the learning frequency is high, information indicating that there is an output effect may be acquired.

  It does not matter how the output effect information is the acquired information. For example, it may be information that the learner has evaluated whether the comment generated and output using the comment information is a valid comment. Moreover, the information automatically acquired using the learning related information acquired in the learning after outputting the comment may be used. Here, an example in which output effect information acquired by the output effect information acquisition unit 106 described later using learning related information acquired in learning after outputting a comment is stored in the output correspondence information storage unit 102 will be described as an example. explain.

  The process of storing output correspondence information in the output correspondence information storage unit 102 does not matter. For example, output effect information acquired by the output effect information acquisition unit 106 may be stored, and output correspondence information may be stored in the output correspondence information storage unit 102 via a recording medium. The output correspondence information transmitted via the communication line or the like may be stored in the output correspondence information storage unit 102, or the output correspondence information input via the input device may be stored in the output correspondence information storage unit. 102 may be stored. The storage in the output correspondence information storage unit 102 may be temporary storage in a RAM or the like, or may be long-term storage. The output correspondence information storage unit 102 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, etc.).

  The comment acquisition unit 103 determines whether or not the learning related information stored in the learning related information storage unit 101 satisfies a condition indicated by one or more output condition information associated with one comment information. When it is determined that the learning related information satisfies the condition, a comment corresponding to the learning related information is acquired using the comment information associated with the one or more output condition information. It is determined that the learning related information stored in the learning related information storage unit 101 satisfies the condition indicated by the one or more output condition information associated with one comment information. It may be considered that one or more learning related information satisfying the conditions indicated by each is detected. Further, satisfying the condition indicated by the output condition information may be considered as a concept including satisfying the condition that the condition indicated by the output condition information is not satisfied. The same applies to other judgments. When multiple pieces of output condition information are associated with one comment information, the conditions indicated by these output condition information are usually used as AND conditions, but other logical combinations such as OR conditions are used. You may make it use in. Note that the comment acquisition unit 103 normally acquires a comment for each learner using learning-related information for each learner. However, you may make it not acquire a comment for every learner as needed. Note that the comment described in this embodiment may be considered as comment information or the like.

  Hereinafter, when the comment acquisition unit 103 acquires the comment information using the evaluation index acquired from the plurality of learning related information, the output condition information indicates one or more learning related information. A case where comment information is acquired according to a combination of determination results obtained by determining whether or not a condition is satisfied will be described.

[(1) When detecting comment information using an evaluation index acquired from a plurality of learning related information]
The comment acquisition unit 103 determines that the information acquired by a predetermined process or the like using one or more learning related information satisfies one or more output condition information associated with one comment information. It is assumed that the learning related information stored in the learning related information storage unit 101 satisfies the condition indicated by the one or more output condition information associated with the usage information, and the comment information is detected. Also good.

  Specifically, the comment acquisition unit 103 indexes two or more pieces of learning related information related to information input during the same learning stored in the learning related information storage unit 101, and the two or more learnings that are indexed. One or more evaluation indexes are acquired using related information. When the evaluation index acquired from the learning related information satisfies the output condition information, a comment corresponding to the learning related information is acquired using the comment information associated with the one or more output condition information. May be. In this case, the output condition information stored in the output correspondence information storage unit 102 is output condition information corresponding to the evaluation index, and the comment information associated with the output condition information corresponds to the evaluation index. It is assumed that the information is for comment. The indexing of learning related information is performed by using condition information for indexing corresponding to each learning related information (for example, condition information having the same learning attribute information as the learning attribute information included in the learning related information). This can be realized by determining whether or not the condition is satisfied and assigning a different index depending on whether or not the condition is satisfied. Alternatively, it is not necessary to provide an index when not satisfied. The indexing is, for example, representing learning-related information with a simple character string or numerical value. The indexing may be scoring. When the condition information is information indicating a plurality of value ranges, an index corresponding to the value range including the learning related information may be given. For example, it may be information such as “satisfy” or “not meet”, or may be a score such as “5 points” or “4 points”. Here, it is assumed that the condition information for indexing the learning related information is stored in the index acquisition condition information storage unit 107 described later. The evaluation index is obtained by adding an index obtained from two or more learning related information, or by adding an index after weighting the index using a weighting value designated in advance for each learning related information. For example, if the index is information of a character string such as “satisfy” or “not meet”, this value is temporarily replaced with a numerical value such as “1” or “0” and weighted as necessary. You may add the value obtained by multiplying the value for use. In addition, simply counting the number of indices indicating that the condition is satisfied may be considered as obtaining the evaluation index. Further, an evaluation index may be obtained depending on whether or not the index value once added by performing weighting or the like as necessary satisfies a condition prepared in advance. For example, if the added value is “10 or more”, the evaluation index is “3”, if the added value is “4 or more and less than 9,” the evaluation index is “2”, and the added value is “3”. If it is “less than”, the evaluation index may be “1”. Note that, as the two or more learning related information used for calculating the evaluation index, for example, two or more learning related information designated in advance for each evaluation index to be acquired is read from the learning related information storage unit 101. The evaluation index differs in learning-related information used for calculation, a weighting value, condition information for indexing, and the like depending on the object to be evaluated, contents, and the like. The comment acquisition unit 103 determines whether or not one or more output condition information associated with one comment information satisfies an evaluation index corresponding to each output condition information. When the evaluation index satisfies all output condition information associated with one comment information, a comment is acquired using the comment information.

  For example, when the comment information is comment template information, the comment information is read from the output correspondence information storage unit 102 and the comment information is acquired using the comment information. The information of the comment is appropriately placed at the designated location of information by placing information included in the learning related information, information corresponding to the learning related information, date information, learner identification information, etc. Is to create. When the comment information is a comment itself, acquiring the comment information from the output correspondence information storage unit 102 may be considered as acquiring a comment.

  The same learning time may be a time when it can be determined that the same learning has been performed, and may not necessarily be a continuous time. For example, the time when learning using the same problem is performed may be considered as the same learning time, and the learning time performed on the same day may be considered as the same learning time.

[(2) When detecting comment information according to a combination of determination results obtained by determining whether one or more learning related information satisfies the condition indicated by the output condition information]
The comment acquisition unit 103 includes, for example, learning attribute information and attribute values included in one or more output condition information in which a combination of learning attribute information and learning attribute value information included in learning related information is associated with comment information. It is determined whether or not a condition indicated by a combination with the condition information is satisfied, and comment information is acquired according to the determination result. The attribute value condition information is information indicating the condition of the attribute value indicated by the corresponding learning attribute information. Specifically, the comment acquisition unit 103 is learning related information having the same learning attribute information as the learning attribute information included in one output condition information, and the attribute value condition information included in the one output condition information is When learning related information having learning attribute value information that satisfies the condition is detected in the learning related information storage unit 101, it is determined that the learning related information satisfies the condition indicated by the one output condition information.

  For example, if one output condition information includes learning attribute information “thinking time information” and attribute value condition information “5 minutes or more” that is an attribute value condition of the learning attribute information, The acquisition unit 103 has learning-related information having learning attribute information “thinking time information” and learning attribute value information having a value of 5 minutes or more in the learning-related information, that is, the value is 5 minutes or more. If there is thinking time information that is, since there is learning related information that satisfies the one output condition information, it is determined that the learning related information satisfies the one output condition information. Further, for example, if one output condition information includes learning attribute information “problem identification information” and attribute value condition information “T0001” that is a condition of the attribute value of the learning attribute information, The acquisition unit 103 includes learning-related information having learning attribute information “problem identification information” and learning attribute value information “T0001” in the learning-related information, that is, problem identification information “T0001” is included. In a case where there is learning related information that satisfies the one output condition information, it is determined that the learning related information satisfies the one output condition information.

  When all the learning related information satisfying the conditions indicated by each of the one or more output condition information associated with one comment information is detected, the comment acquisition unit 103 uses the one comment information. You may make it acquire a comment. Note that learning related information for which there is no corresponding output condition information, that is, learning related information for which there is no output condition information having matching learning attribute information in one or more output condition information associated with one piece of comment information. May be determined to satisfy the condition indicated by the output condition information associated with the one comment information.

  The comment acquired by the comment acquisition unit 103 is a comment that satisfies the condition indicated by the output condition information associated with the comment information. Further, this comment is a comment corresponding to the learning related information used for determining whether or not the condition indicated by the output condition information is satisfied.

  For example, when the output condition information includes information indicating whether or not to output a comment corresponding to the correct / incorrect information and the learning time information, the condition indicated by the one or more output condition information is the correct / incorrect information and the learning time. When the learning related information including information is satisfied, the comment acquisition unit 103 uses the comment information associated with the one or more output condition information to generate a comment including the comment corresponding to the correct / incorrect information and the learning time information. Good to get.

  Specifically, out of the two output condition information associated with one comment information, the output condition information for the correct / incorrect information is a value indicating the upper limit of the correct answer rate, and the output condition information for the learning time information is If it is a value indicating the upper limit of the learning time, the correct answer rate and the learning time included in the learning related information acquired at the time of one learning to be judged are both output condition information for the correct / incorrect information and the learning time information. The comment acquisition unit 103 determines that the learning related information satisfies the condition indicated by the output condition information, and uses the comment information associated with the output condition information, For example, a comment such as “Let's practice solving a problem quickly and accurately” is acquired. Note that as the third output condition information associated with the comment information, the output condition information included in the problem identification information for identifying the problem in order to add the problem used during learning as one of the conditions. In addition to the above, in addition to the above, the problem identification information and value included in the output condition information are included in the problem identification information included in the learning related information acquired at the time of one learning to be determined. It may be determined whether or not there is a match, and a comment may be output when a match is detected. For example, if the output condition information further includes a condition for specifying that the problem identification information used at the time of learning is “T0001” in addition to the above, the learning related information includes the condition of the problem used at the time of learning. If the problem identification information “T0001”, which is identification information, is included, a comment is output in the same manner as described above, but if it is not included, the above comment may not be output. Also, when outputting a comment, the problem identification information “T0001” is arranged in the comment information where the problem identification information is arranged, and for example, practice to solve a problem such as “T0001 quickly and accurately” A comment such as “Let ’s do it” may be output. The same applies to the case where the output condition information about the attribute information in question is included.

  Further, for example, the output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the entry time information and the non-entry time information, and the condition indicated by the one or more output condition information is the entry time information. When the learning related information including the non-entry time information is satisfied, the comment acquisition unit 103 responds to the input time information and the non-entry time information using the comment information associated with the one or more output condition information. It is good to get a comment including the comment.

  Specifically, of the two output condition information associated with one comment information, the output condition information for the entry time information is a value indicating the upper limit of the entry time, and the output condition for the non-entry time information. If the information is a value indicating the lower limit of the non-entry time, the entry time included in the learning related information acquired at the time of one learning to be judged is greater than or equal to the value indicated by the output condition information for the entry time information. Yes, when the non-entry time included in the learning related information acquired at the time of one learning to be determined is less than or equal to the value indicated by the output condition information for the non-entry time information, the comment acquisition unit 103 outputs It is determined that the learning-related information satisfies the condition indicated by the condition information, and the comment information associated with the output condition information is used, for example, “after sufficiently thinking about how to solve the problem Try to tackle the answer. "Comments, etc. to get. The case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  Further, for example, the output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the thinking time information and the free time information, and the conditions indicated by the one or more output condition information indicate the thinking time information and When the learning related information including the free time information is satisfied, the comment acquisition unit 103 uses the comment information associated with the one or more output condition information to provide a comment corresponding to the thinking time information and the free time information. It is good to get comments including.

  Specifically, out of the two output condition information associated with one comment information, the output condition information for the thinking time information is a value indicating the lower limit of the thinking time, and the output condition information for the free time information Is a value indicating the upper limit of the free time, the thinking time included in the learning related information acquired at the time of one learning to be determined is less than or equal to the value indicated by the output condition information for the thinking time information, When the free time included in the learning related information acquired at the time of one learning to be determined is equal to or greater than the value indicated by the output condition information for the free time information, the comment acquisition unit 103 indicates the output condition information Judge that the learning-related information satisfies the conditions, and use the comment information associated with these output condition information, for example, “Please tackle the problem a little more carefully. . To get the comment of "and the like. The case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  In addition, for example, the output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the learning fixing degree information, and includes learning fixing degree information including a condition indicated by one or more output condition information. When the related information is satisfied, the comment acquisition unit 103 may acquire a comment including a comment corresponding to the learning fixing degree information by using the comment information associated with the one or more output condition information. .

  Specifically, out of the output condition information associated with one comment information, the output condition information for the learning fixing degree information is information on a character string indicating that the learning fixing degree is low (for example, “learning fixing”). Degree: low ”), the learning fixed degree information included in the learning-related information acquired at the time of the one learning subject to determination is the information“ learning ”of the character string that matches the information of the output condition information. When the fixing degree is low, the comment acquisition unit 103 determines that the learning related information satisfies the condition indicated by the output condition information, and uses the comment information associated with the output condition information, For example, a comment such as “Let's advance learning as scheduled” is acquired. The case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  Further, for example, the output condition information includes information indicating a condition for determining that the total learning time is an excessive learning time, and includes learning time information including a condition indicated by one or more output condition information. When the related information is satisfied, the comment acquisition unit 103 acquires a comment including a comment indicating that excessive learning is performed using the comment information associated with the one or more output condition information. You can do it.

  Specifically, if the output condition information for the total learning time information among the output condition information associated with one comment information is information indicating the upper limit of the total learning time, one of the items to be determined. When the total learning time information included in the learning related information acquired at the time of learning is equal to or greater than the value of the output condition information for the total learning time information, the comment acquisition unit 103 learns the condition indicated by the output condition information It is determined that the related information is satisfied, and a comment such as “I am overworked. Let's slow down the learning pace a little” is acquired using the comment information associated with the output condition information. The case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  Further, for example, the output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the learning time period information, and includes learning time period information including a condition indicated by one or more output condition information. When the related information is satisfied, the comment acquisition unit 103 acquires comment information associated with the one or more output condition information, and includes a comment corresponding to the learning time zone information using the comment information. You can get a comment.

  Specifically, out of the output condition information associated with one comment information, the output condition information for the learning time zone information is information indicating a time zone in which the start time of the learning time zone should not be included. If this is the case, the learning start time information, which is the learning time zone information included in the learning related information acquired at the time of one learning to be determined, is included in the period indicated by the output condition information for the learning time zone information. In the case of the time zone, the comment acquisition unit 103 determines that the learning-related information satisfies the condition indicated by the output condition information, and uses, for example, “brain” using the comment information associated with the output condition information. "Let's make an effort to learn during the time when the work is active". The case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  Further, for example, the output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the learning date information, and includes learning date information including a condition indicated by one or more output condition information. Is satisfied, the comment acquisition unit 103 may acquire a comment corresponding to the learning date information using the comment information associated with the one or more output condition information.

  Specifically, if the output condition information for the learning date information among the output condition information associated with one comment information is a value indicating the lower limit of the continuous learning days, If the value of the number of days of continuous learning indicated by the learning date information included in the learning related information acquired during learning is less than or equal to the number of days indicated by the output condition information for the learning date information, a comment is acquired. The unit 103 determines that the learning-related information satisfies the condition indicated by the output condition information, and uses the comment information associated with the output condition information, for example, “continuously to fix the learning content. Get comments such as “Let ’s do learning”. The case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  Further, for example, the output condition information includes information indicating a condition regarding whether or not to output a comment corresponding to the personality information, and the learning related information including the personality information satisfies the condition indicated by the one or more output condition information In this case, the comment acquisition unit 103 may acquire a comment including a comment corresponding to the personality information using the comment information associated with the one or more output condition information.

  Specifically, out of the output condition information associated with one comment information, the output condition information for the personality information is character string information indicating that the concentration is low (for example, “low concentration”). If the character information included in the learning related information acquired at the time of one learning to be determined is the character string information “low concentration” that matches the information of the output condition information, The comment acquisition unit 103 determines that the learning-related information satisfies the condition indicated by the output condition information, and uses the comment information associated with the output condition information, for example, “it may be a short time, so concentrate as much as possible. “Let's tackle learning” and so on. ”Note that the case where problem identification information, problem attribute information, and the like are further included in the output condition information is the same as described above.

  The one or more output condition information for the comment information may be in any combination. For example, any combination of output condition information having any learning attribute information may be used. However, the comment information is preferably information that can acquire a comment corresponding to the combination of the output condition information.

  When the output correspondence information storage unit 102 further stores output count information, which is information indicating the output count of the comment information, in association with the comment information, the comment acquisition unit 103 displays the output count. Comment information may be acquired according to the information. Obtaining according to the output count information is a concept including not obtaining according to the output count information. Specifically, a comment may not be acquired using comment information in which the number of outputs indicated by the output number information is higher than a predetermined threshold value. Thereby, it is possible to prevent the same comment from being output to the same learner in duplicate. Further, when there are a plurality of pieces of comment information corresponding to the same one or more output condition information, it may be considered that a comment is generated using only comment information with a low output count. Note that the output count information is preferably reset as appropriate at a trigger or timing designated in advance.

  Further, in the output correspondence information storage unit 102, when the output effect information, which is information indicating the effect on the comment generated using the comment information, is further stored in association with the comment information, the comment acquisition is performed. The unit 103 may acquire a comment using the comment information according to the output effect information. Acquiring according to the output effect information is a concept including not acquiring according to the output effect information. That is, the comment acquisition unit 103 may not acquire the comment using the comment information indicating that the output effect information indicates that the effect is low. For example, when the output effect information is a value indicating the height of the effect, the comment may not be acquired using comment information whose corresponding output effect information value is lower than a predesignated value. good.

  In particular, the comment acquisition unit 103 may preferentially acquire a comment using the comment information associated with the output effect information indicating that the comment effect is high. “Preferentially acquiring” means, for example, acquiring in order from priority comments when only a predetermined number of comments can be acquired. When a comment in which a plurality of comments are arranged is created and output, a comment indicating that the output effect information has a high effect may be arranged above or at a position that is easily noticeable. Alternatively, when there are a plurality of pieces of comment information corresponding to the same one or more output condition information, it may be considered that a comment is generated using only the priority comment information.

  The comment acquisition unit 103 can usually be realized by an MPU, a memory, or the like. The processing procedure of the comment acquisition unit 103 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The comment output unit 104 outputs the comment acquired by the comment acquisition unit 103. For example, a comment acquired by the comment acquisition unit 103 for each learner is transmitted to an information processing apparatus (not shown) used by the learner. The output described here refers to display on a display, projection using a projector, printing on a printer, sound output, transmission to an external device, storage in a recording medium, output to another processing device or other program, etc. It is a concept that includes delivery of processing results. A program is an instruction for a procedure of processing (calculation, operation, communication, etc.) performed by a computer. The comment output unit 104 may or may not include an output device such as a display or a speaker. The comment output unit 104 can be implemented by output device driver software, or output device driver software and an output device.

  The receiving unit 105 receives information transmitted from the learner. For example, information transmitted from a learner's information processing device (not shown) or the like via a network or the like is received. The information transmitted from the learner may be any information. The information transmitted from the learner is, for example, information used by the output effect acquisition unit 106 described later to acquire output effect information. The information transmitted from the learner includes, for example, learning-related information as described above, information on the time from when a comment is output until learning is started, information such as the date and time when learning starts, and the comment output unit 104. The information indicating the evaluation result of the learner with respect to the comment outputted by may be received. The received information is stored in, for example, a storage unit (not shown). The receiving unit 105 is usually realized by a wireless or wired communication means, but may be realized by a means for receiving a broadcast.

  The output effect information acquisition unit 106 acquires output effect information using the information received by the reception unit 105. For example, the output effect information acquisition unit 106 uses the information received by the reception unit 105 to determine whether learning has been performed according to the comment output by the comment output unit 104. And the output effect information mentioned above is acquired according to the judgment result. The output effect information acquisition unit 106 may perform determination using information such as learning related information received by the reception unit 105 as it is, and may acquire output effect information. For example, using learning-related information such as correct / incorrect information and learning time information received by the receiving unit 105, information indicating the evaluation result of the learner with respect to the comment, etc., it is determined whether learning has been performed according to the comment. Also good. Further, the output effect information acquisition unit 106 may perform determination using information created using the received information, and acquire output effect information. For example, using the information indicating the comment output time acquired from the comment output unit 104 and the information indicating the learning start time received by the first receiving unit 105 after the comment is output, the comment is output from the learning start time. Information on the time from when a comment is output until learning is started by subtracting the time may be acquired, and it may be determined whether learning has been performed according to the comment using the information on the time. Further, the learning related information may be configured using the information received by the receiving unit 105, and it may be determined whether or not learning is performed according to the comment using the learning related information. In addition, the number of times learning is performed after comment output may be counted, and learning frequency information may be acquired from the count result. Further, when the information received by the receiving unit 105 is information indicating an evaluation result obtained by evaluating a comment by the learner, the output effect information acquiring unit 106 may acquire the evaluation result as output effect information. Note that the generation of these pieces of information from the information received by the receiving unit 105 is performed by another processing unit (not shown) and the output effect information acquiring unit 106 acquires the generated information. good.

  The output effect information acquisition unit 106 uses the information received by the receiving unit 105 or the information created using the received information, for example, the information indicating the evaluation result for the comment received by the receiving unit 105 as the output effect information. You may get it. Moreover, you may acquire the output effect information obtained by indexing such information. The process described above can be used for indexing. Then, the acquired output effect information is assigned to the corresponding comment information. The assignment described here means storing output effect information in association with comment information, increasing or decreasing the value of output effect information already stored, and the like. In addition, in order to be able to determine the correspondence between the comment information, the comment created using the comment information, and the information indicating the evaluation result for the comment, the identifications that are the same or associated with each information Information may be added.

  The output effect information acquisition unit 106 corresponds to the condition indicated by the condition information for evaluating the effect of the comment output using the comment information prepared in advance in a storage unit (not illustrated). It is determined whether the information received by the receiving unit 105 or the information generated from the received information is satisfied, and when it is determined that the condition is satisfied, the predetermined output effect information is a comment corresponding to the output comment. To information.

  The output effect information acquisition unit 106, for example, comment evaluation condition information associated with the comment information in order to determine whether or not there is an effect on the comment generated and output using the comment information. Is compared with the learning related information received by the receiving unit 105 corresponding to the condition (or learning related information created from the information received by the receiving unit 105), and the output effect information according to the comparison result Is granted. The condition information for comment evaluation is condition information indicating a condition for determining whether or not a comment has an effect. Note that the output effect information may be provided only when it is determined that there is an effect, or the output effect information may be provided only when it is determined that there is no effect. The giving here may be giving qualitative information indicating the presence / absence of an effect as the output effect information, or increasing / decreasing the value indicating the effect.

  The comment evaluation condition information is stored in, for example, a storage unit (not shown) in association with the comment information or the identification information of the comment information in order to indicate which comment is to be evaluated. Note that the condition information for comment evaluation may be stored in the output correspondence information storage unit 102 in association with the comment information. Further, in order to determine what output effect information is output when the condition is satisfied, it may be stored in association with the output effect information. The condition information for comment evaluation is information indicating the attribute of the learning related information and the condition of the attribute value, similar to the output condition information described above.

  An example of processing of the output effect information acquisition unit 106 will be described below. The output effect information acquisition unit 106 stores, for example, comment information used for acquiring a comment that has already been output in a storage unit (not shown). Keep it. Then, at a predetermined timing, one or more comment evaluation condition information associated with the comment information is read from a storage unit (not shown), and the attribute to be subjected to the condition indicated by the comment evaluation condition information Whether information having the same attribute (for example, learning-related information having the same attribute, time until learning after comment output, information on learning frequency, etc.) is present in the information received by the receiving unit 105 Judging. If it exists, the attribute value of the information is compared with the condition of the attribute value indicated by the condition information for comment evaluation. Then, when the learning-related information received by the receiving unit 105 satisfies the condition for comment evaluation, output effect information designated in advance is used for the comment information used when creating the comment that has already been output. Give.

  Note that as the condition information for comment evaluation, the output effect information acquisition unit 106 may appropriately create and use the negation of the output condition information associated with the comment information. For example, when the entry time information included in the learning related information satisfies the output condition information that “the entry time information is 10 minutes or more”, the entry time information is created using the comment information associated with the output condition information. Assume that a comment is output to the learner. In this case, the entry time information included in the learning time information acquired in the next learning is the negation of the condition “entry time information is 10 minutes or more” indicated by the output condition information corresponding to the comment output last time, that is, “entry” When the condition that the time information is less than 10 minutes is satisfied, the comment has been effective, and output effect information indicating that there is an effect is stored in association with the comment information.

  The output effect information acquisition unit 106 may acquire output effect information for each learner and store the output effect information in association with the learner. However, the output effect information acquired for a plurality of learners may be stored. Information may be merged and stored. Specifically, when the acquired output effect information is information such as numerical values, the output effect information acquired for a plurality of learners may be sequentially added and stored. By doing in this way, it becomes possible to preferentially output a comment effective for a plurality of learners.

  In the index acquisition condition information storage unit 107, condition information for indexing the learning related information can be stored in association with the learning related information. Also, the condition information for indexing may be further associated with information indicating the index value given when the condition is satisfied. One condition information may be associated with two or more learning related information, and one of the learning related information may be problem identification information. The condition information for indexing the learning related information in this case is, for example, condition information about the learning related information acquired when learning using the problem indicated by the corresponding problem identification information is performed. Since the condition information for indexing is the same as the output condition information as described above, description thereof is omitted here. In the index acquisition condition information storage unit 107, the learning related information and the indexing condition information may be stored in a directly associated manner or may be stored in an indirectly associated manner. good. Indirect association means, for example, that identification information corresponding to each is associated with each other, identification information of one information is associated with identification information of the other information, and the like. To do. Further, the output condition information and the comment information may be physically stored in the same storage medium, or may be stored in physically different storage media. The index acquisition condition information storage unit 107 can be realized by a volatile storage medium such as a nonvolatile storage medium.

  Next, the operation of the comment output device 1 will be described using the flowchart of FIG. Here, a case where a comment is acquired using an evaluation index will be described as an example. In addition, here, a process for obtaining a comment about one learner will be described. However, when a process for obtaining a comment about a plurality of learners is performed, the learning related information for each learner is used. A process for acquiring a similar comment may be performed.

  (Step S <b> 101) The receiving unit 105 determines whether information indicating an evaluation result by a learner for a comment has been received. If received, the process proceeds to step S120. If not received, the process proceeds to step S102.

  (Step S102) The comment output device 1 determines whether or not it is time to output a comment. For example, in the learning related information stored in the learning related information storage unit 101 and associated with one learner, the learning related information corresponding to the most recently performed learning and a corresponding comment is output. It is determined that it is time to output a comment when learning-related information that has not been processed is detected. Further, it may be determined to output a comment at a timing designated in advance, for example, at a timing when new learning related information is stored in the learning related information storage unit 101. If it is time to output a comment, the process proceeds to step S103, and if it is not time to output, the process returns to step S101.

  (Step S <b> 103) The comment acquisition unit 103 acquires learning related information associated with one learner stored in the learning related information storage unit 101. For example, the learning related information obtained about the learning performed on the same day is acquired.

  (Step S104) The comment acquisition unit 103 reads out condition information for acquiring an index associated with the entry time information included in the learning related information acquired in step S103 from the index acquisition condition information storage unit 107, It is determined whether or not the entry time information acquired in step S103 satisfies a condition indicated by condition information (hereinafter referred to as entry time condition information) for acquiring an index for the entry time information, and according to the determination result Get an indicator. For example, when the index value acquired when the condition is satisfied is associated with the entry time condition information, the index value is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown). For example, the comment acquisition unit 103 determines whether or not the entry time indicated by the entry time information is less than a predetermined time indicated by the entry time condition information. If it is less than the predetermined time, it is determined that the condition is satisfied, and if it is greater than or equal to the value, it is determined that the condition is not satisfied.

  (Step S105) The comment acquisition unit 103 reads out condition information for acquiring an index associated with the thinking time information included in the learning related information acquired in step S103 from the index acquisition condition information storage unit 107, It is determined whether or not the thinking time information acquired in step S103 satisfies a condition indicated by condition information (hereinafter referred to as thinking time condition information) for acquiring an index for thinking time information, and according to the determination result An index, for example, an index value associated with the thinking time condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S106) The comment acquisition unit 103 reads out the condition information for acquiring the index associated with the free time information included in the learning related information acquired in step S103 from the index acquisition condition information storage unit 107, It is determined whether or not the free time information acquired in step S103 satisfies a condition indicated by condition information (hereinafter referred to as free time condition information) for acquiring an index for the free time information, and according to the determination result An index, for example, an index value associated with the thinking time condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S107) The comment acquisition unit 103 reads out condition information for acquiring an index associated with correct / incorrect information included in the learning-related information acquired in step S103 from the index acquisition condition information storage unit 107, It is determined whether the correct / incorrect information acquired in S103 satisfies a condition indicated by condition information (hereinafter referred to as correct / incorrect condition information) for acquiring an index for correct / incorrect information, and an index according to the determination result, for example, thinking The index value associated with the time condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S108) The comment acquisition unit 103 reads, from the index acquisition condition information storage unit 107, condition information for acquiring an index associated with the learning time zone information included in the learning related information acquired in step S103. It is determined whether or not the learning time zone information acquired in step S103 satisfies a condition indicated by condition information for acquiring an index for the learning time zone information (hereinafter referred to as learning time zone condition information). An index corresponding to the result, for example, an index value associated with the learning time zone condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S109) The comment acquisition unit 103 reads out condition information for acquiring an index associated with the learning date information included in the learning related information acquired in step S103 from the index acquisition condition information storage unit 107, It is determined whether or not the learning date information acquired in step S103 satisfies a condition indicated by condition information (hereinafter referred to as learning date condition information) for acquiring an index for learning date information, and according to the determination result An index, for example, an index value associated with learning date condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S110) The comment acquisition unit 103 reads, from the index acquisition condition information storage unit 107, condition information for acquiring an index associated with the learning fixing degree information included in the learning related information acquired in step S103. Then, it is determined whether or not the learning fixing degree information acquired in step S103 satisfies a condition indicated by condition information (hereinafter referred to as learning fixing degree condition information) for acquiring an index for learning fixing degree information. An index corresponding to the result, for example, an index value associated with learning fixing degree condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S111) The comment acquisition unit 103 reads, from the index acquisition condition information storage unit 107, condition information for acquiring an index associated with the total learning time information included in the learning related information acquired in step S103. Then, it is determined whether or not the total learning time information acquired in step S103 satisfies a condition indicated by condition information for acquiring an index for the total learning time information (hereinafter referred to as total learning time condition information). An index corresponding to the result, for example, an index value associated with the total learning time condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S112) The comment acquisition unit 103 reads out condition information for acquiring an index associated with the personality information included in the learning-related information acquired in step S103 from the index acquisition condition information storage unit 107, It is determined whether or not the personality information acquired in S103 satisfies the conditions indicated by the condition information (hereinafter referred to as personality condition information) for acquiring an index for personality information, and an index according to the determination result, for example, personality The index value associated with the condition information is acquired. The acquired index is temporarily stored in a storage medium such as a memory (not shown).

  (Step S113) The comment acquisition unit 103 acquires one or more evaluation indexes using the indexes acquired in steps S104 to S112. For example, one or more sets of two or more indexes specified in advance are acquired from the indexes acquired in steps S104 to S112, and an evaluation index is calculated for each set. For example, the indices included in each set are added. Alternatively, the values obtained by weighting each index are added. The weighting value may be different for each group and each index.

  (Step S114) The comment acquisition unit 103 acquires comment information corresponding to one or more evaluation indexes acquired in step S113. Specifically, the comment acquisition unit 103 reads the output condition information corresponding to the evaluation index acquired in step S113 from the output correspondence information storage unit 102 by searching or the like, and the condition indicated by the output condition information is determined by the evaluation index. Judge whether to meet or not. When it is determined that the evaluation index satisfies the condition indicated by the output condition information, the comment information stored in the output correspondence information storage unit 102 in association with the output condition information is detected. The output condition information corresponding to the evaluation index is, for example, output condition information having the same attribute as the evaluation index.

  (Step S115) The comment acquisition unit 103 selects comment information using the output count information associated with the comment information. For example, one or more pieces of comment information whose number indicated by the associated output number information is less than a predetermined number are selected.

  (Step S116) The comment acquisition unit 103 selects comment information using the output effect information associated with the comment information from the one or more pieces of comment information selected in Step S115. For example, a predetermined number of pieces of comment information are selected from the comment information selected in step S115 in descending order of the effect level indicated by the associated output effect information. For example, if the output effect information is information indicating the height of the effect in terms of a numerical value, the comment information associated with the output effect information having a higher numerical value is selected in order.

  (Step S117) The comment acquisition unit 103 acquires a comment using the one or more pieces of comment information selected in step S116. For example, when the comment information is a comment itself, the comment information may be acquired as a comment. Further, when the comment information is the template information of the comment, information arranged in the template is appropriately acquired from the learning related information or the like, and these are arranged in the template to create a comment.

  (Step S118) The comment output unit 104 outputs the comment acquired in step S117. For example, the information is transmitted to the terminal device (not shown) of one learner corresponding to the learning related information acquired in step S103.

  (Step S119) The comment acquisition unit 103 increments the value of the output frequency information of the comment information selected in step S116 by one. Then, the process returns to step S101.

  (Step S120) The output effect information acquisition unit 106 acquires output effect information corresponding to information indicating the evaluation result for the comment received in step S101, and assigns the output effect information to the comment information corresponding to the comment. For example, when the received information indicating the evaluation result is information that can be used as output effect information as it is, the output effect information acquisition unit 106 may acquire information indicating the evaluation result as output effect information. For example, when the output effect information is a value indicating an effect such as a numerical value, the value of the output effect information associated with the comment information is incremented by the value of the output effect information. Further, the output effect information associated with the comment information may be updated with the acquired output effect information. Then, the process returns to step S101.

  In the flowchart of FIG. 1, learning related information other than the above may be used as learning related information. Moreover, you may make it utilize only a part of said learning related information.

  Further, in the flowchart of FIG. 1, when the learning related information itself is already indexed information, acquiring the index without comparing with the condition information may be regarded as acquiring the index. good.

  In the flowchart of FIG. 1, the process ends when the power is turned off or the process ends.

(Specific example 1)
Hereinafter, a specific operation of the comment output device 1 according to the present embodiment will be described with an example. A conceptual diagram of an e-learning system using the comment output device 1 is shown in FIG. In FIG. 3, the comment output device 1 is connected so as to be able to communicate information with the information processing device 10 via a network, a communication line, or the like. The information processing apparatus 10 is a terminal device such as an e-learning system. The information processing apparatus 10 receives a problem transmitted from the comment output apparatus 1 via a network, a communication line, or the like and displays the problem on a monitor or prints out on paper or the like using a printer (not shown). In addition, information on the answer to the question input by the learner using the electronic pen 20 or the like is transmitted to the comment output device 1 via a network, a communication line, or the like.

  FIG. 4 is a diagram illustrating an example of a learning related information management table for managing learning related information stored in the learning related information storage unit 101. Here, as an example, a learning related information management table for a learner whose user identification information is “U001” is shown. The learning related information management table includes “date”, “question ID”, “entry time”, “thinking time”, “free time”, “score”, “learning time zone”, “learning date”, “concentration” ”,“ Fixing degree ”, and“ Total learning time ”. “Date” is information on the date when the record of the learning related information management table is added. Here, as an example, each record of learning related information is assumed to be learning related information acquired for one learning time. “Problem ID” is problem identification information of a problem used within one learning time. “Entry time” is entry time information, for example, a time during which an input device such as the electronic pen 20 is operated when solving a problem. “Thinking time” is thinking time information. For example, from the time when learning is performed using a problem to the non-filling time that is a time excluding “filling time” from the start to the end The length of time is less than a predetermined time. “Free time” is free time information. For example, the length of one time out of the non-filling time is a time longer than a predetermined time. “Score” is correct / incorrect information, and is information on a score obtained as a result of scoring a learner's answer to a question. The “learning time zone” is learning time zone information, and here, it is composed of information indicating a learning start time and a learning end time. “Learning date” is learning date information, and here is information indicating the number of days of continuous learning. “Concentration” is personality information, which is a value indicating the presence or absence of the learner's concentration. “Fixing degree” is fixing degree information. Here, the value when the number of learnings in the past month is equal to or greater than a predetermined number is “fixed”, and the value when less than the predetermined number is “non-fixed”. It is. The “total learning time” is total learning time information, and here, the total learning time information for the past one week is shown. Note that personality information and other learning related information that is not converted for each learning is managed using a management table that is different from the above learning related information management table and is not associated with “date”, “problem ID”, or the like. May be. In addition, “question ID”, “entry time”, “thinking time”, “free time”, “score”, “study time zone”, “study day”, “concentration”, “degree of fixation” and “total learning” It may be considered that the item “time” corresponds to the learning attribute information of the learning related information, and the value of the item of each record corresponds to the learning attribute value information.

  First, it is assumed that a learner whose user identification information is “U001” operates the information processing apparatus 10 and transmits an instruction for obtaining a comment about learning performed immediately before to the comment output apparatus 1. .

  FIG. 5 is a diagram illustrating an example of an index acquisition condition information management table for managing the index acquisition condition information stored in the index acquisition condition information storage unit 107. The index acquisition condition information includes “problem ID”, “entry time condition”, “thinking time condition”, “free time condition”, “scoring condition”, “learning time zone condition”, “learning day condition”, “concentration” “Field condition”, “learning frequency condition”, and “total learning time condition”. “Problem ID” is problem identification condition information. “Entry time condition” is entry time condition information. “Thinking time condition” is thinking time condition information. “Free time condition” is free time condition information. “Scoring condition” is correct / incorrect condition information. The “learning time zone condition” is learning time zone condition information. “Learning date condition” is learning date condition information. “Concentration condition” is consciousness condition information corresponding to “concentration ability”. “Fixing degree” is fixing degree condition information. The “total learning time condition” is total learning time condition information. Here, “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition”, “Concentration condition”, “Learning frequency condition” The “total learning time condition” is condition information for indexing the learning related information corresponding to the problem indicated by the “problem ID” of the same record. That is, the comment acquisition unit 103 determines whether or not the condition is satisfied by using the condition indicated by the attribute value of “problem ID” and the condition indicated by the attribute value of each other item as an AND condition. Is called. The condition indicated by the attribute value of “problem ID” is, for example, a condition for designating learning related information associated with problem identification information having the same attribute value of “problem ID”. In the condition information, “entry time condition”, “thinking time condition”, “free time condition”, and “scoring condition”, for example, provide answers to different questions and themes of the learner in the past. The average value of each piece of information obtained at the time of answering, the average value of each piece of information obtained at the time of answering when another learner answers the same question or a similar question, and the like. Here, as an example, it is assumed that the information of each item is stored in the index acquisition condition correspondence information storage unit 104. “Problem ID”, “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition”, “Concentration condition”, “ `` Learning frequency condition '' and `` total learning time condition '' items correspond to the learning attribute information of the condition information for indexing, and the item value of each record corresponds to the value indicating the attribute value condition Also good.

  When the comment output device 1 receives information requesting transmission of a problem via reception or the like (not shown), the comment acquisition unit 103 performs learning related to the learner whose user identification information illustrated in FIG. 4 is “U001”. The record with the latest “date” is detected from the information management table. Here, a record whose “date” is “09/10/11” is detected. Then, “T008” which is the “problem ID” of this record is read out. Then, a record whose “problem ID” is “T008” in the index acquisition condition information management table shown in FIG. 5 is detected, and indexing condition information included in the record, that is, “entry time condition”, Items such as “think time condition”, “free time condition”, “score condition”, “learning time zone condition”, “learning day condition”, “concentration condition”, “learning frequency condition”, and “total learning time condition” Read each value. The read information is temporarily stored in a storage medium (not shown).

  In addition, the comment acquisition unit 103 reads, from the learning-related information management table, the “entry time” and “entry” of the record whose “problem ID” is “T008”, that is, the record whose “date” is “09/10/11”. The values of the items of “thinking time”, “vacant time”, “score”, “learning time zone”, “learning date”, “concentration”, “fixing degree”, and “total learning time” are read. The read information is temporarily stored in a storage medium (not shown).

  Next, the comment acquisition unit 103 reads the “entry time”, “thinking time”, “free time”, “score”, “learning time zone”, “learning date”, “concentration” read from the learning related information management table. ”,“ Fixing degree ”and“ Total learning time ”, that is, the attribute value in each learning related information and the value of the condition information for indexing corresponding to each read from the condition information management table for index acquisition That is, the attribute value condition is compared to determine whether the information read from the index acquisition condition information management table satisfies the condition information, and the determination result is stored. Note that the determination result determined not to satisfy the condition may not be stored. Note that the condition information for indexing corresponding to the learning related information is specifically condition information whose attribute (item name) matches the attribute of the learning related information.

  First, the comment acquisition unit 103 compares the value of “entry time” read from the learning related information management table with the value of “entry time condition” read from the index acquisition condition information management table, and determines “entry time”. It is determined whether or not the value of is less than the value of the “entry time condition”. Here, since the value of “entry time” is “15 (minutes)” and the value of “entry time condition” is “20 (minutes)”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the value of “thinking time” read from the learning related information management table with the value of “thinking time condition” read from the index acquisition condition information management table. "Is less than the value of" thinking time condition ". Here, since the value of “thinking time” is “3 (minutes)” and the value of “thinking time condition” is “10 (minutes)”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the value of “free time” read from the learning related information management table with the value of “free time condition” read from the condition information management table for index acquisition. "Is less than the value of" free time condition ". Here, since the value of “free time” is “0 (minutes)” and the value of “free time condition” is “10 (minutes)”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the “score” value read from the learning-related information management table with the “score condition” value read from the index acquisition condition information management table, and determines the “score” value. Is greater than or equal to the value of “scoring condition”. Here, since the value of “score” is “62 (point)” and the value of “score condition” is “70 (point)”, it is determined that the condition is not satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory. If it is determined that the condition is not satisfied, the determination result may not be stored.

  Next, the comment acquisition unit 103 compares the “learning time zone” value read from the learning-related information management table with the “learning time zone condition” value read from the index acquisition condition information management table. It is determined whether at least a part of the time zone indicated by the “learning time zone” is included in the time zone indicated by the “learning time zone condition”. Here, since the value of “learning time zone” is “17: 15-17: 33” and the value of “learning time zone condition” is “6: 00-21: 00”, Since the value is included in the time zone indicated by the “learning time zone condition”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the value of “learning date” read from the learning related information management table with the value of “learning date condition” read from the condition information management table for index acquisition. Is determined to be less than the number of days indicated by the “learning day condition”. Here, since the value of “learning date” is “5” and the value of “learning date condition” is “4”, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the “concentration” value read from the learning related information management table with the “concentration condition” value read from the index acquisition condition information management table. It is determined whether or not the value of “concentration condition” matches. The match here may be a partial match or a complete match. Here, the value of “concentration” is “high”, and the value of “concentration condition” is also “high”. Since the values match, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the “fixing degree” value read from the learning related information management table with the “fixing degree condition” value read from the index acquisition condition information management table. It is determined whether or not the value of “and the value of“ fixing degree condition ”match. The match here may be a partial match or a complete match. Here, the value of “fixing degree” is “fixing”, and the value of “fixing degree condition” is also “fixing”. Since the values match, it is determined that the condition is satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  Next, the comment acquisition unit 103 compares the value of “total learning time” read from the learning related information management table with the value of “total learning time condition” read from the index acquisition condition information management table. It is determined whether the number of days indicated by the “total learning time” is equal to or less than the number of days indicated by the “total learning time condition”. Here, since the value of “total learning time” is “3:25” and the value of “total learning time condition” is “3:00”, it is determined that the condition is not satisfied. Then, the determination result is temporarily stored in a storage medium such as a memory.

  FIG. 6 is an index management table showing a relationship between one or more evaluation indexes and an index used when acquiring the evaluation index. In the index management table, each line item indicates an index acquired by the comment acquisition unit 103. Each column item indicates an evaluation index. For example, “concentration index” indicates an evaluation index related to concentration on learning. Similarly, “recognition index”, “sustainability index”, “habituation index”, “physical condition index”, etc. indicate evaluation indexes for cognitive ability for learning, sustainability, learning habits, and physical condition. Yes. In the index management table, an item (index) in a row having a round value in each evaluation index column indicates an index used to acquire each evaluation index. The index management table is stored in advance in a storage unit (not shown).

  FIG. 7 is an evaluation index determination table showing the relationship between the number of acquired indexes and the value of the evaluation index. The evaluation index determination table includes items of “evaluation index” which is a value of the evaluation index and “index condition” which is a condition of the number of indices determined to satisfy the condition. The “index condition” is a condition regarding the ratio of the number of indices that the comment acquisition unit 103 determines to satisfy the condition indicated by the index acquisition condition information with respect to the entire index used for acquiring the evaluation index.

  The comment acquisition unit 103 acquires one or more evaluation indexes using the index management table shown in FIG. 6 and the evaluation index determination table shown in FIG. For example, in the index management table shown in FIG. 6, “entry time”, “thinking time”, “vacant time”, “score”, “time zone”, “concentration” in the column “concentration index” The item is circled. Therefore, in order to acquire the evaluation index “concentration index” related to concentration from the index management table, the comment acquisition unit 103 selects “entry time”, “thinking time” among the indexes acquired by the comment acquisition unit 103. ”,“ Free time ”,“ score ”,“ time zone ”, and“ concentration ”are determined to be used. The comment acquisition unit 103 indicates that “the condition is satisfied” among these “entry time”, “thinking time”, “vacant time”, “score”, “time zone”, and “concentration”. Count the number of indicators you have. Here, in the indexing described above, since five indexes other than “score” are indexes indicating that “satisfy”, “5” is acquired as the count value. Further, the comment acquisition unit 103 uses this value “5” to calculate a ratio to the number of indexes used for acquiring the “concentration index”. Here, the indicators used to acquire the “Concentration Index” are “Entry Time”, “Thinking Time”, “Free Time”, “Score”, “Time Zone”, “Concentration”, and the number of indicators is “ 6 ”, the calculated ratio is“ 93.3% ”. Then, in the evaluation index determination table shown in FIG. 7, a record whose “index condition” includes this value is detected, and the value of the “evaluation index” is acquired. Here, since “93.3%” is included in the value indicated by the “index condition” of the record in the second row of FIG. 7, the value “B” of the “evaluation index” is acquired. This acquired value “B” is the value of the evaluation index “concentration index” regarding concentration. Instead of counting, each index satisfying the condition is converted into a numerical value such as “1”, and weighting specified in advance for each index or evaluation index, for example, multiplication of a predetermined value is performed. You may make it do.

  Further, in order to acquire the evaluation index “recognition index” related to cognition, the comment acquisition unit 103 includes “entry time”, “thinking time”, “free time” among the indexes acquired by the comment acquisition unit 103. ”And“ score ”are determined to be used, and the number of indices indicating that“ satisfy ”among these indices is counted. Then, the ratio of the index indicating that “satisfy” is calculated, and the value “B” of the evaluation index “recognition index” for recognition power is obtained using the evaluation index determination table shown in FIG. To do. For other evaluation indexes such as “sustainability index”, “custom index”, “physical condition index”, the value of the evaluation index is acquired in the same manner.

  FIG. 8 is a comment information management table for managing output condition information and comment information for an evaluation index. The comment information management table includes items of “ID”, “problem ID”, “output condition”, “comment information”, “number of outputs”, and “output effect”. The “output condition” further includes items of “evaluation index” and “condition”. “ID” is identification information for managing records. “Problem ID” is problem identification information. The “output condition” is output condition information regarding the evaluation index. The “comment information” is a comment that is output when the condition indicated by the “output condition” is satisfied. “Output count” is output count information. “Output effect” is output effect information. “Evaluation index” is the name of the evaluation index and corresponds to the item name in the column in FIG. “Condition” is a condition for the value of the evaluation index. When the value of the “condition” matches the value of the corresponding “evaluation index”, a comment using the comment information of the same record is output.

  For example, for learning using a problem with “problem ID” “T008”, the comment acquisition unit 103 acquires “B” as the value of “concentration index” that is an evaluation index related to concentration. In the comment information management table shown in FIG. 8, “Problem ID” matches “T008”, “Evaluation Index” matches “Concentration Index”, and “Condition” matches “B”. A record whose “ID” is “10056” is detected.

  Further, since the comment acquisition unit 103 acquires “B” as the value of the “recognition power index” that is an evaluation index related to concentration, similarly, the record having “ID” “10059” is detected.

  Similarly, records in the comment information management table are similarly detected using the evaluation indices acquired for the “sustainability index”, “habit index”, “physical condition index”, and the like.

  Next, in the detected records acquired by the comment acquisition unit 103, those whose “output count” value is equal to or smaller than a predetermined value are detected. For example, if the predetermined value is 2, a record whose value of “number of times of output” is 2 or less is detected. As a result, it is assumed that a record having “ID” “10059” is not detected, and, for example, four records including a record “ID” being “10056” are detected.

  Further, the comment acquisition unit 103 detects two records in descending order of the “output effect” value in the detected records whose “output count” value is 2 or less. Here, it is assumed that two records including a record whose “ID” is “10056” are detected.

  The comment acquisition unit 103 acquires a comment using “comment information” included in the record detected by the value of “output effect”. Here, the comment information is acquired as it is as a comment. Note that the value of “output count” of the record from which the comment information is acquired is incremented by one.

  The comment output unit 104 transmits the comment acquired by the comment acquisition unit 103 to the information processing apparatus 10 of the learner whose user identification information is “U001”.

  A learner who has received a comment by the information processing apparatus 10 can view the comment by printing the comment with a printer (not shown) or displaying the comment on the display of the information processing apparatus 10 or the like.

  Note that the output destination of the comment is not limited to the learner. For example, the comment may be output to the supervisor or guardian of the learner.

  FIG. 9 is a diagram illustrating a display example of a comment received by the information processing apparatus 10.

  Here, in the said embodiment, the structure for acquiring learning related information, such as entry time information, non-entry time information, thought time information, and free time information, using the information transmitted from an electronic pen A specific example provided with will be described. Here, as an example, electronic pen transmission information, which is information transmitted from the electronic pen, is once received by the information processing apparatus 10 and then transmitted from the information processing apparatus 10 to the comment output apparatus 1 via a network or the like. The comment output device 1 that has received the electronic pen transmission information by the unit uses the electronic pen transmission information received by the electronic pen information processing unit or the like to enter entry time information, non-entry time information, thought time information, A case where time information and the like are acquired and the acquired information is stored in the learning related information storage unit 101 will be described as an example.

  FIG. 10 is a block diagram illustrating an example of the comment output device 1 having a configuration for acquiring entry time information, non-entry time information, thinking time information, idle time information, and the like using electronic pen transmission information. . 10, the same reference numerals as those in FIG. 1 denote the same or corresponding parts. Here, it is assumed that the electronic pen transmission information can be received. The receiving unit 105 stores the received electronic pen transmission information in, for example, a storage unit (not shown). The receiving unit 105 is usually realized by a wireless or wired communication means, but may be realized by a means for receiving a broadcast.

  The electronic pen information processing unit 108 uses the electronic pen transmission information received by the receiving unit 105 to acquire entry time information, non-entry time information, thought time information, idle time information, and the like. Information is stored in the learning related information storage unit 101. Details of the processing of the electronic pen information processing unit 108 will be described later. The electronic pen information processing unit 108 can be usually realized by an MPU, a memory, or the like. The processing procedure of the electronic pen information processing unit 108 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

FIG. 11 is a diagram illustrating an example of electronic pen transmission information that is information transmitted from the electronic pen to the comment output device 1. The electronic pen transmission information includes information of “coordinate (x, y)”, “pressure”, and “time”. “Coordinates (x, y)” is information on coordinates detected by the pen tip of the electronic pen. “Pressure” is information on the pressure applied to the pen tip of the electronic pen. The unit of pressure is an original unit. Note that x _n and y _n (n is an integer) are arbitrary values. “Time” is information of time when “coordinates (x, y)” and “pressure” are acquired. Here, for the sake of explanation, only the electronic pen transmission information acquired within a period during which an answer is made for one problem is shown as an example.

  The electronic pen information processing unit 108 of the comment output device 1 acquires entry time information using the electronic pen transmission information received by the comment output device 1. Specifically, the electronic pen information processing unit 108 calculates the difference between the values of the “time” of the electronic pen transmission information successively acquired sequentially from the start time of learning in order of time. If the difference in value is less than the time specified in advance, it is determined that the entry has been made continuously with the electronic pen, and the difference in the time is added as entry time information. . When it is determined that the difference in the “time” value is equal to or greater than the first threshold value specified in advance, the difference in the “time” value is added as non-entry time information. Then, the entry time information and the non-entry time added up to the time when the learning is finished become the entry time information and the non-entry time information for the one problem, respectively. For example, if the first threshold value specified in advance is “3 seconds”, the electronic pen information processing unit 108 acquires the total time of the period 25 in FIG. A total of 26 is acquired as non-entry time information.

  Further, here, within one learning time, the difference in the “time” value of the electronic pen transmission information obtained continuously is equal to or greater than the first threshold value, and the first threshold value. If the value is less than the second threshold value, which is greater than the value, the difference between the “time” values is acquired as thought time information and added.

  Similarly, the difference between the “time” values of the electronic pen transmission information acquired continuously is equal to or greater than the first threshold value described above, and is larger than the first threshold value. If it is equal to or greater than the threshold value, the difference between the “time” values is acquired as free time information and added.

  Then, the thinking time information and the free time information added within one learning time become the thinking time information and the free time information, respectively. For example, if the second threshold value specified in advance is “180 seconds”, the electronic pen information processing unit 108 acquires the total of the time period 27 in FIG. A total of 28 is acquired as free time information.

As described above, it is possible to acquire entry time information, non-entry time information, thinking time information, idle time information, and the like using information output from the electronic pen. This configuration is the same in the other embodiments.
(Specific example 2)

  A specific example will be described below in which comment information is detected according to a combination of determination results obtained by determining whether one or more learning-related information satisfies the condition indicated by the output condition information.

  The learning related information management table for managing the learning related information stored in the learning related information storage unit 101 is the same as that shown in FIG. 4 and will be described here. Each item (field) and its item value (field value) correspond to learning attribute information of one piece of learning related information and learning attribute value information. Here, “problem ID”, that is, problem identification information is also considered as one of learning-related information.

  FIG. 12 is a comment information management table for managing output condition information and comment information for one or more learning related information. The comment information management table includes “ID”, “Problem ID”, “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition” ”,“ Concentration Condition ”,“ Learning Frequency Condition ”,“ Total Learning Time Condition ”,“ Number of Outputs ”,“ Output Effect ”, and“ Comment Information ”. “ID” is identification information for managing records. “Entry time condition”, “Thinking time condition”, “Free time condition”, “Scoring condition”, “Learning time zone condition”, “Learning day condition”, “Concentration condition”, “Learning frequency condition”, and “ The “total learning time condition” is the same as the item in the index acquisition condition information management table shown in FIG. The “problem ID” here is output condition information corresponding to the problem identification information. Each item (field) of the output condition information corresponds to learning attribute information, and the value (field value) of each item corresponds to attribute value condition information. Also, “comment information” is the same as “comment information” in the comment information management table of FIG.

  First, as in the specific example of the first embodiment, a learner whose user identification information is “U001” operates the information processing apparatus 10 to give an instruction to obtain a comment on the learning performed immediately before. Suppose that it is transmitted to the comment output device 1.

  When the comment output device 1 receives information requesting transmission of a problem via reception or the like (not shown), the comment acquisition unit 103 learns related to the answerer whose user identification information shown in FIG. 4 is “U001”. From the information management table, “question ID”, “entry time”, “think time”, “free time”, “score”, “study time zone”, “learning date”, “consciousness” of the record with the latest “date” The values of the “information” and “writing pressure” items are read out. The read information is temporarily stored in a storage medium or the like.

  Next, the comment acquisition unit 103 outputs, for each record in the comment information management table, a plurality of learning related information acquired from the learning related information management table respectively corresponding to the plurality of learning related information included in each record. It is determined whether or not all the conditions indicated by the information are satisfied. That is, it is determined whether or not the learning related information corresponding to each output condition information satisfies one or more output condition information associated with each comment information. The output condition information corresponding to the learning related information is output condition information having learning attribute information that matches the learning attribute information included in the learning related information. Whether or not the condition is satisfied is determined based on whether or not the learning attribute value information of the learning related information satisfies the condition indicated by the attribute value condition information of the output condition information. Note that the process of determining whether or not each learning related information satisfies the output condition information corresponding thereto is the same as the process of determination performed by the comment acquisition unit 103 for indexing in the above specific example. Is omitted. And the comment acquisition part 103 specifies the record of the information management table for comments in which the some learning related information acquired from the learning related information management table satisfy | fills all the conditions which the some output condition information corresponding to each satisfy | fills. Then, the comment acquisition unit 103 detects “comment information” of the finally specified record. That is, when the plurality of pieces of learning related information acquired from the learning related information management table satisfy all the conditions indicated by the corresponding pieces of output condition information, the comment information associated with the output condition information is detected. . Here, it is determined that the plurality of pieces of learning related information acquired from the learning related information management table satisfy the condition indicated by the output condition information of the record of the comment information management table whose “ID” is “10056”, for example. “Concentrate ...” is acquired as “comment information”. If there are a plurality of values of “comment information”, the plurality of values are acquired. Similarly, “comment information” of other records in the comment information management table in which a plurality of pieces of learning related information acquired from the learning related information management table satisfy all the output condition information is also detected.

  The comment acquisition unit 103 acquires a comment using the detected comment information, and transmits the comment to the information processing apparatus 10 of the learner whose user identification information is “U001”. When acquiring a comment, the comment information may be selected according to the output count information and the output effect information as in the first specific example.

  The operation of the comment output apparatus 1 corresponding to the above specific example 2 will be described with reference to the flowchart shown in FIG. In FIG. 13, the same reference numerals as those in FIG. 2 indicate the same or corresponding processing steps.

  (Step S201) The comment acquisition unit 103 assigns 1 to the counter n.

  (Step S202) The comment acquisition unit 103 assigns 1 to the counter k.

  (Step S203) The comment acquisition unit 103 sets the condition indicated by the output condition information about the kth learning related information acquired in step S103 in the set of output condition information associated with the nth comment information. It is determined whether or not the kth learning related information acquired in step S103 is satisfied. If satisfied, the process proceeds to step S204. If not satisfied, the process proceeds to step S207.

  (Step S204) The comment acquisition unit 103 increments the value of the counter k by 1.

  (Step S205) The comment acquisition unit 103 determines whether there is k-th learning related information. If there is, the process returns to step S203, and if not, the process proceeds to step S206.

  (Step S206) The comment acquisition unit 103 detects the nth comment information.

  (Step S207) The comment acquisition unit 103 increments the value of the counter n by 1.

  (Step S210) The comment acquisition unit 103 determines whether there is n-th comment information. If there is, the process returns to step S202, and if not, the process proceeds to step S115. ,

  As described above, according to the present embodiment, it is possible to present a comment to the learner in consideration of various factors related to learning, and therefore it is possible to present an optimum comment for the learner's learning situation. It becomes possible. For example, it becomes possible to output a comment adapted to the level of the learner. As a result, the learning efficiency of the learner can be increased. In addition, it is possible to prevent a learner from being motivated to learn.

  In each of the above embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. May be.

  Further, in each of the above embodiments, it goes without saying that two or more communication means (such as an information transmission unit) existing in one apparatus may be physically realized by one medium.

  In the above embodiment, information related to processing executed by each component, for example, information received, acquired, selected, generated, transmitted, and received by each component. In addition, information such as threshold values, mathematical formulas, addresses, etc. used by each component in processing is retained temporarily or over a long period of time on a recording medium (not shown) even when not explicitly stated in the above description. It may be. Further, the storage of information in the recording medium (not shown) may be performed by each component or a storage unit (not shown). Further, reading of information from the recording medium (not shown) may be performed by each component or a reading unit (not shown).

  Further, although cases have been described with the above embodiments where the comment output device is stand-alone, the comment output device may be a stand-alone device or a server device in a server / client system. In the latter case, the output unit or the reception unit receives an input or outputs a screen via a communication line.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory. The software that realizes the comment output device in each of the above embodiments is the following program. That is, in this program, the learning related information stored in the learning related information storage unit in which learning related information that is information related to information input by the learner during learning corresponds to the learning related information. One or more output condition information that is information indicating whether or not to output a comment and comment information that is information used for generating a comment are associated with each other and stored in an output correspondence information storage unit When a condition indicated by the one or more output condition information stored is satisfied, a comment corresponding to the learning related information is acquired using the comment information associated with the one or more output condition information And a comment output unit that outputs a comment acquired by the comment acquisition unit.

  In the program, the functions realized by the program do not include functions that can be realized only by hardware. For example, a function that can be realized only by hardware such as a modem or an interface card in an acquisition unit that acquires information or an output unit that outputs information is not included in the function realized by the program.

  Further, the computer that executes this program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 14 is a schematic diagram showing an example of the appearance of a computer that executes the program and realizes the comment output apparatus according to the embodiment. The above-described embodiment can be realized by computer hardware and a computer program executed on the computer hardware.

  14, a computer system 900 includes a computer 901 including a CD-ROM (Compact Disk Read Only Memory) drive 905 and an FD (Floppy (registered trademark) Disk) drive 906, a keyboard 902, a mouse 903, a monitor 904, and the like. Is provided.

  FIG. 15 is a diagram showing an internal configuration of the computer system 900. In FIG. 15, in addition to the CD-ROM drive 905 and the FD drive 906, a computer 901 is connected to an MPU (Micro Processing Unit) 911, a ROM 912 for storing a program such as a bootup program, and the MPU 911. A RAM (Random Access Memory) 913 that temporarily stores program instructions and provides a temporary storage space, a hard disk 914 that stores application programs, system programs, and data, and an MPU 911 and a ROM 912 are interconnected. And a bus 915. The computer 901 may include a network card (not shown) that provides connection to the LAN.

  A program that causes the computer system 900 to execute the function of the comment output device according to the above-described embodiment is stored in the CD-ROM 921 or the FD 922, inserted into the CD-ROM drive 905 or the FD drive 906, and transferred to the hard disk 914. May be. Instead, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 914. The program is loaded into the RAM 913 when executed. The program may be loaded directly from the CD-ROM 921, the FD 922, or the network.

  The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 901 to execute the function of the comment output device according to the above-described embodiment. The program may include only a part of an instruction that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 900 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiment, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the comment output device according to the present invention is suitable as a device for outputting a comment, and is particularly useful as a device for outputting a comment according to a learning situation.

DESCRIPTION OF SYMBOLS 1 Comment output device 10 Information processing apparatus 101 Learning related information storage part 102 Output correspondence information storage part 103 Comment acquisition part 104 Comment output part 105 Reception part 106 Output effect information acquisition part 107 Index acquisition condition information storage part 108 Electronic pen information processing Part

Claims (20)

A learning related information storage unit capable of storing learning related information that is information related to information input by the learner during learning;
One or more output condition information that is information indicating whether or not to output a comment corresponding to the learning-related information and information for comment that is information used for generating a comment are stored in association with each other. An output correspondence information storage unit that can be
When the learning related information satisfies a condition indicated by the one or more output condition information, a comment corresponding to the learning related information is acquired using the comment information associated with the one or more output condition information A comment acquisition unit to
A comment output unit that outputs a comment acquired by the comment acquisition unit; The learning related information is information having learning attribute information that is information indicating an attribute and learning attribute value information that is information indicating an attribute value of the learning attribute information,
The output condition information is information having the learning attribute information and attribute value condition information which is information indicating a condition as to whether or not to output a comment on the learning attribute value information corresponding to the learning attribute information,
The comment acquisition unit
A combination of learning attribute information and learning attribute value information included in the learning related information is a combination of learning attribute information and attribute value condition information included in one or more output condition information associated with the comment information. The comment output device according to claim 1, wherein it is determined whether or not a condition shown is satisfied, and a comment is acquired using the comment information according to the determination result. The output condition information is information indicating a condition as to whether or not to output a comment for an evaluation index that is an index for evaluating learning corresponding to learning-related information,
The comment acquisition unit indexes two or more pieces of learning related information related to information input during the same learning stored in the learning related information storage unit, and uses the indexed two or more pieces of learning related information When the evaluation index is acquired and the evaluation index acquired from the learning related information satisfies the output condition information, the learning related information is used using the comment information associated with the one or more output condition information. The comment output device according to claim 1, wherein a comment corresponding to the information is acquired. The learning-related information includes correct / incorrect information that is information related to correct / incorrect answers to a predetermined problem and learning time information that is time information about learning.
The output condition information includes information indicating a condition as to whether or not to output a comment corresponding to the correct / incorrect information and the learning time information,
The comment acquisition unit, when the learning related information including the correct / incorrect information and the learning time information satisfies a condition indicated by the one or more output condition information, the comment information associated with the one or more output condition information The comment output device according to claim 1, wherein a comment including a comment corresponding to the correct / incorrect information and the learning time information is acquired. The learning time information includes entry time information indicating entry time during learning and non-entry time information indicating non-entry time,
The output condition information includes information indicating a condition regarding whether to output a comment corresponding to the entry time information and the non-entry time information,
The comment acquisition unit, when the learning related information including the entry time information and the non-entry time information satisfies a condition indicated by the one or more output condition information, the comment associated with the one or more output condition information The comment output device according to claim 4, wherein a comment including a comment corresponding to the entry time information and the non-entry time information is acquired by using business information. The learning time information includes thinking time information indicating thinking time and free time information indicating free time,
The output condition information includes information indicating a condition regarding whether to output a comment corresponding to the thinking time information and the free time information,
The comment acquisition unit is configured for the comment associated with the one or more output condition information when the learning related information including the thinking time information and the idle time information satisfies a condition indicated by the one or more output condition information. The comment output device according to claim 5, wherein a comment including a comment corresponding to the thinking time information and the free time information is acquired using information. The learning related information includes learning fixing degree information which is information indicating a fixing degree of learning habits,
The output condition information includes information indicating a condition as to whether or not to output a comment corresponding to the learning fixing degree information,
The comment acquisition unit uses the comment information associated with the one or more output condition information when the learning related information including the learning fixing degree information satisfies a condition indicated by the one or more output condition information. The comment output device according to claim 1, wherein a comment including a comment corresponding to the learning fixing degree information is acquired. The learning related information includes total learning time information that is information indicating a total learning time within a period specified in advance.
The output condition information includes information indicating a condition for determining that the total learning time is an excessive learning time,
The comment acquisition unit uses the comment information associated with the one or more output condition information when the learning related information including the total learning time information satisfies a condition indicated by the one or more output condition information. The comment output device according to claim 1, wherein a comment including a comment indicating that excessive learning is performed is acquired. The learning related information includes learning time zone information which is information indicating a time zone in which learning is performed,
The output condition information includes information indicating a condition as to whether or not to output a comment corresponding to the learning time zone information,
The comment acquisition unit acquires the comment information associated with the one or more output condition information when the learning related information including the learning time zone information satisfies a condition indicated by the one or more output condition information. The comment output device according to any one of claims 1 to 8, wherein a comment including a comment corresponding to the learning time zone information is acquired using the comment information. The learning related information includes learning date information that is information related to a date on which learning is performed,
The output condition information includes information indicating a condition as to whether or not to output a comment corresponding to the learning date information,
The comment acquisition unit uses the comment information associated with the one or more output condition information when the learning related information including the learning date information satisfies a condition indicated by the one or more output condition information. The comment output device according to claim 1, wherein a comment corresponding to the learning date information is acquired. The learning related information includes personality information that is information indicating the personality of the learner,
The output condition information includes information indicating a condition regarding whether to output a comment corresponding to the personality information,
When the learning related information including the personality information satisfies the condition indicated by the one or more output condition information, the comment acquisition unit uses the comment information associated with the one or more output condition information, The comment output device according to claim 1, wherein a comment including a comment corresponding to the personality information is acquired. The output correspondence information storage unit further stores output count information, which is information indicating the output count of the comment information, in association with the comment information.
The comment output device according to claim 1, wherein the comment acquisition unit acquires the comment information according to the output count information. In the output correspondence information storage unit, output effect information that is information indicating an effect on a comment generated using the comment information is further stored in association with the comment information.
The comment output device according to claim 1, wherein the comment acquisition unit acquires a comment using the comment information according to the output effect information. The output effect information includes a time from the output of the comment generated using the comment information until the learner starts learning, a predetermined problem after the output of the comment generated using the comment information. The information according to at least one or more of the correctness information which is information on the correctness of the answer to the answer or the learning time information which is the time information about the learning after outputting the comment generated using the comment information. Item 14. The comment output device according to Item 13. The comment output device according to claim 13, wherein the output effect information is information obtained by determining whether learning has been performed according to the comment after outputting the comment generated using the comment information. . The comment output device according to claim 13, wherein the output effect information is information acquired according to a learning frequency after outputting a comment generated using the comment information. The comment output device according to claim 13, wherein the output effect information is information evaluated by a learner whether or not a comment generated and output using the comment information is a valid comment. The comment output device according to any one of claims 1 to 17, wherein the comment acquisition unit preferentially acquires a comment using the comment information indicating that the output effect information has a high effect. A learning-related information storage unit that can store learning-related information that is information related to information input by the learner during learning, and information indicating a condition regarding whether to output a comment corresponding to the learning-related information 1 Comments performed using the output correspondence information storage unit, the comment acquisition unit, and the comment output unit that can store the above output condition information in association with information for comment that is information used for generating a comment Output method,
When the comment acquisition unit satisfies the condition indicated by the one or more output condition information, the learning related information uses the comment information associated with the one or more output condition information. A comment acquisition step for acquiring a comment corresponding to
A comment output method comprising: a comment output step in which the comment output unit outputs the comment acquired in the comment acquisition step. Computer
Whether or not the learning related information stored in the learning related information storage unit in which learning related information that is information related to information input by the learner during learning outputs a comment corresponding to the learning related information The one or more output condition information that is stored in the output correspondence information storage unit that can be stored in association with one or more output condition information that is information indicating the condition and information for comment that is information used for generating a comment A comment obtaining unit that obtains a comment corresponding to the learning related information using the comment information associated with the one or more output condition information when the condition indicated by the condition information is satisfied;
The program for functioning as a comment output part which outputs the comment which the said comment acquisition part acquired.

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